IT University of Copenhagen sitecore@itu.dk https://video.itu.dk en-us Visualplatform http://blogs.law.harvard.edu/tech/rss IT University of Copenhagen Stay up to date with all the things that are happening at IT University of Copenhagen. This podcast will serve you various videos and audios with accounts from scientists and actual students at IT University, and give you a glimpse into their... episodic no https://video.itu.dk/files/rv0.0/sitelogo.gif https://video.itu.dk http://video.itu.dk/photo/98716017/kunstig-intelligens-pa <p><p>Med generativ AI har vi fået en kraftig motor ind i virksomheden eller organisationen, men vi risikerer at miste relationerne på arbejdspladsen. ITU-lektor og forsker, Louise Harder Fischer, giver sit bud på, hvordan AI vil forme vores arbejdsliv i fremtiden.</p><p>For mere information:&nbsp;</p><p>Theis Duelund Jensen, presseansvarlig, +45 25 55 04 47,&nbsp;<a>thej@itu.dk</a><br></p></p><p><a href="http://video.itu.dk/photo/98716017/kunstig-intelligens-pa"><img src="http://video.itu.dk/64968559/98716017/4a4e2460221d17abfb3ca32b6d27f604/standard/download-36-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/98716017 Thu, 25 Apr 2024 14:12:39 GMT KUNSTIG INTELLIGENS PÅ ARBEJDSPLADSEN Med generativ AI har vi fået en kraftig motor ind i virksomheden eller organisationen, men vi risikerer at miste relationerne på arbejdspladsen. ITU-lektor og forsker, Louise Harder Fischer, giver sit bud på, hvordan AI vil forme vores arbejdsliv i fremtiden.For mere information:Theis Duelund Jensen, presseansvarlig, +45 25 55 04 47,thej@itu.dk Med generativ AI har vi fået en kraftig motor ind i virksomheden eller organisationen, men vi risikerer at miste relationerne på arbejdspladsen. ITU-lektor og forsker, Louise Harder Fischer, giver sit bud på, hvordan AI vil forme vores arbejdsliv... IT University of Copenhagen 03:26 <p><p>Med generativ AI har vi fået en kraftig motor ind i virksomheden eller organisationen, men vi risikerer at miste relationerne på arbejdspladsen. ITU-lektor og forsker, Louise Harder Fischer, giver sit bud på, hvordan AI vil forme vores arbejdsliv i fremtiden.</p><p>For mere information:&nbsp;</p><p>Theis Duelund Jensen, presseansvarlig, +45 25 55 04 47,&nbsp;<a>thej@itu.dk</a><br></p></p><p><a href="http://video.itu.dk/photo/98716017/kunstig-intelligens-pa"><img src="http://video.itu.dk/64968559/98716017/4a4e2460221d17abfb3ca32b6d27f604/standard/download-36-thumbnail.jpg" width="75" height=""/></a></p> ai ki kunstig intelligens kunstig intelligens: ven eller fjende Louise harder fischer http://video.itu.dk/photo/72565556/tabletop-games-framework-for-ai <p>Author: James Goodman, Raluca Gaina.<br /> Title: Tabletop Games Framework for AI – easier implementation of modern card and board games<br /> Tutorial - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/72565556/tabletop-games-framework-for-ai"><img src="http://video.itu.dk/64968560/72565556/84910a497f47f44e0eba369232d4ff90/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/72565556 Mon, 13 Dec 2021 13:21:05 GMT Tabletop Games Framework for AI – easier implementation of modern card and... Author: James Goodman, Raluca Gaina. Title: Tabletop Games Framework for AI – easier implementation of modern card and board games Tutorial - IEEE Conference on Games 2021 Author: James Goodman, Raluca Gaina. Title: Tabletop Games Framework for AI – easier implementation of modern card and board games Tutorial - IEEE Conference on Games 2021 IT University of Copenhagen 52:20 <p>Author: James Goodman, Raluca Gaina.<br /> Title: Tabletop Games Framework for AI – easier implementation of modern card and board games<br /> Tutorial - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/72565556/tabletop-games-framework-for-ai"><img src="http://video.itu.dk/64968560/72565556/84910a497f47f44e0eba369232d4ff90/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 ai cog cog2021 for framework gaina games goodman tabletop tutorial http://video.itu.dk/photo/71912922/automatic-goal-discovery-in-subgoal-1 <p>IEEE Conference on Games 2021<br> AI for Playing Games<br> Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana<br> Title: Automatic Goal Discovery in Subgoal Monte<br> Carlo Tree Search</p><p><a href="http://video.itu.dk/photo/71912922/automatic-goal-discovery-in-subgoal-1"><img src="http://video.itu.dk/64968560/71912922/f3344827896cf1e0e7e4ef13219c0b3a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71912922 Mon, 08 Nov 2021 09:53:01 GMT Automatic Goal Discovery in Subgoal Monte Carlo Tree Search IEEE Conference on Games 2021 AI for Playing Games Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana Title: Automatic Goal Discovery in Subgoal Monte Carlo Tree Search IEEE Conference on Games 2021 AI for Playing Games Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana Title: Automatic Goal Discovery in Subgoal Monte Carlo Tree Search IT University of Copenhagen 07:17 <p>IEEE Conference on Games 2021<br> AI for Playing Games<br> Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana<br> Title: Automatic Goal Discovery in Subgoal Monte<br> Carlo Tree Search</p><p><a href="http://video.itu.dk/photo/71912922/automatic-goal-discovery-in-subgoal-1"><img src="http://video.itu.dk/64968560/71912922/f3344827896cf1e0e7e4ef13219c0b3a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai ai-for-playing-games cog2021 http://video.itu.dk/photo/71764985/the-social-responsibility-of-ai <p>Author: Michael Cook.<br /> Title: The Social Responsibility of AI.<br /> Plenary - Vision - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71764985/the-social-responsibility-of-ai"><img src="http://video.itu.dk/64968568/71764985/e1cff97a305cf5ab191ec3572b452c4f/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71764985 Wed, 03 Nov 2021 15:25:35 GMT The Social Responsibility of AI Author: Michael Cook. Title: The Social Responsibility of AI. Plenary - Vision - IEEE Conference on Games 2021 Author: Michael Cook. Title: The Social Responsibility of AI. Plenary - Vision - IEEE Conference on Games 2021 IT University of Copenhagen 30:15 <p>Author: Michael Cook.<br /> Title: The Social Responsibility of AI.<br /> Plenary - Vision - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71764985/the-social-responsibility-of-ai"><img src="http://video.itu.dk/64968568/71764985/e1cff97a305cf5ab191ec3572b452c4f/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 ai cog cog2021 cook responsibility social http://video.itu.dk/photo/71766048/ai-transformation-at-playtika <p>Author: Assaf Asbag.<br /> Title: AI Transformation at Playtika.<br /> Plenary - Sponsored Talk - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71766048/ai-transformation-at-playtika"><img src="http://video.itu.dk/64968576/71766048/c06b87186f79e1046d8efaaa320f6bf7/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71766048 Wed, 03 Nov 2021 15:25:34 GMT AI Transformation at Playtika Author: Assaf Asbag. Title: AI Transformation at Playtika. Plenary - Sponsored Talk - IEEE Conference on Games 2021 Author: Assaf Asbag. Title: AI Transformation at Playtika. Plenary - Sponsored Talk - IEEE Conference on Games 2021 IT University of Copenhagen 24:53 <p>Author: Assaf Asbag.<br /> Title: AI Transformation at Playtika.<br /> Plenary - Sponsored Talk - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71766048/ai-transformation-at-playtika"><img src="http://video.itu.dk/64968576/71766048/c06b87186f79e1046d8efaaa320f6bf7/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 ai asbag cog cog2021 playtika http://video.itu.dk/photo/71683766/lode-encoder-ai-constrained <p>Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius.<br /> Title: Lode Encoder: AI-constrained co-creativity.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71683766/lode-encoder-ai-constrained"><img src="http://video.itu.dk/64968558/71683766/54e1b14833881919fa811b67aa8fcf3f/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71683766 Wed, 03 Nov 2021 15:22:50 GMT Lode Encoder: AI-constrained co-creativity Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius. Title: Lode Encoder: AI-constrained co-creativity. Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021 Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius. Title: Lode Encoder: AI-constrained co-creativity. Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021 IT University of Copenhagen 19:16 <p>Author: Debosmita Bhaumik, Ahmed Khalifa and Julian Togelius.<br /> Title: Lode Encoder: AI-constrained co-creativity.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71683766/lode-encoder-ai-constrained"><img src="http://video.itu.dk/64968558/71683766/54e1b14833881919fa811b67aa8fcf3f/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 ai bhaumik cog cog2021 creativity khalifa togelius http://video.itu.dk/photo/71683982/novelty-generation-framework-for-ai <p>Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz.<br /> Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71683982/novelty-generation-framework-for-ai"><img src="http://video.itu.dk/64968558/71683982/83c302cee6f1c3477518fc282afc83e1/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71683982 Wed, 03 Nov 2021 15:22:50 GMT Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz. Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games. Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021 Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz. Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games. Procedural Content Generation Track - Long Paper (20 min) -... IT University of Copenhagen 18:37 <p>Author: Chathura Gamage, Vimukthini Pinto, Cheng Xue, Matthew Stephenson, Peng Zhang and Jochen Renz.<br /> Title: Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71683982/novelty-generation-framework-for-ai"><img src="http://video.itu.dk/64968558/71683982/83c302cee6f1c3477518fc282afc83e1/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 ai cog cog2021 gamage novelty physics pinto renz stephenson xue zhang http://video.itu.dk/photo/71684020/grail-framework-a-paradigm-shift <p>Author: Piotr Biczyk and Maciej Świechowski.<br /> Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684020/grail-framework-a-paradigm-shift"><img src="http://video.itu.dk/64968560/71684020/f36001bd6177301daf0996bbbc95c7bc/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71684020 Wed, 03 Nov 2021 15:22:50 GMT Grail framework – a paradigm shift in implementation of advanced AI in games... Author: Piotr Biczyk and Maciej Świechowski. Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control. Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021 Author: Piotr Biczyk and Maciej Świechowski. Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control. Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021 IT University of Copenhagen 19:08 <p>Author: Piotr Biczyk and Maciej Świechowski.<br /> Title: Grail framework – a paradigm shift in implementation of advanced AI in games and automated quality control.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684020/grail-framework-a-paradigm-shift"><img src="http://video.itu.dk/64968560/71684020/f36001bd6177301daf0996bbbc95c7bc/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 ai Biczyk cog cog2021 paradigm quality shift Świechowski http://video.itu.dk/photo/71784042/knowledge-based-paranoia-search-in <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Stefan Edelkamp<br /> Title: Knowledge-Based Paranoia Search in Skat</p><p><a href="http://video.itu.dk/photo/71784042/knowledge-based-paranoia-search-in"><img src="http://video.itu.dk/64968571/71784042/6741fe7403e5799fa2edf921be8fbc4f/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784042 Wed, 03 Nov 2021 12:18:27 GMT Knowledge-Based Paranoia Search in Skat IEEE Conference on Games 2021 AI for Playing Games Author: Stefan Edelkamp Title: Knowledge-Based Paranoia Search in Skat IEEE Conference on Games 2021 AI for Playing Games Author: Stefan Edelkamp Title: Knowledge-Based Paranoia Search in Skat IT University of Copenhagen 14:13 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Stefan Edelkamp<br /> Title: Knowledge-Based Paranoia Search in Skat</p><p><a href="http://video.itu.dk/photo/71784042/knowledge-based-paranoia-search-in"><img src="http://video.itu.dk/64968571/71784042/6741fe7403e5799fa2edf921be8fbc4f/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784047/generalising-discrete-action-spaces <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Christopher Bamford and Alvaro Ovalle<br /> Title: Generalising Discrete Action Spaces with Conditional Action Trees</p><p><a href="http://video.itu.dk/photo/71784047/generalising-discrete-action-spaces"><img src="http://video.itu.dk/64968571/71784047/14c547970bf5cf615db9a8bc2a93b0a9/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784047 Wed, 03 Nov 2021 12:18:26 GMT Generalising Discrete Action Spaces with Conditional Action Trees IEEE Conference on Games 2021 AI for Playing Games Author: Christopher Bamford and Alvaro Ovalle Title: Generalising Discrete Action Spaces with Conditional Action Trees IEEE Conference on Games 2021 AI for Playing Games Author: Christopher Bamford and Alvaro Ovalle Title: Generalising Discrete Action Spaces with Conditional Action Trees IT University of Copenhagen 18:40 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Christopher Bamford and Alvaro Ovalle<br /> Title: Generalising Discrete Action Spaces with Conditional Action Trees</p><p><a href="http://video.itu.dk/photo/71784047/generalising-discrete-action-spaces"><img src="http://video.itu.dk/64968571/71784047/14c547970bf5cf615db9a8bc2a93b0a9/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784049/fingerprinting-tabletop-games <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: James Goodman, Simon Lucas and Diego<br /> Perez-Liebana<br /> Title: Fingerprinting Tabletop Games</p><p><a href="http://video.itu.dk/photo/71784049/fingerprinting-tabletop-games"><img src="http://video.itu.dk/64968571/71784049/cc0ae1bdf3e5f557a8e2af64c3f2fc9f/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784049 Wed, 03 Nov 2021 12:18:26 GMT Fingerprinting Tabletop Games IEEE Conference on Games 2021 AI for Playing Games Author: James Goodman, Simon Lucas and Diego Perez-Liebana Title: Fingerprinting Tabletop Games IEEE Conference on Games 2021 AI for Playing Games Author: James Goodman, Simon Lucas and Diego Perez-Liebana Title: Fingerprinting Tabletop Games IT University of Copenhagen 08:25 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: James Goodman, Simon Lucas and Diego<br /> Perez-Liebana<br /> Title: Fingerprinting Tabletop Games</p><p><a href="http://video.itu.dk/photo/71784049/fingerprinting-tabletop-games"><img src="http://video.itu.dk/64968571/71784049/cc0ae1bdf3e5f557a8e2af64c3f2fc9f/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784053/boosting-exploration-of <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Kenneth Chang and Adam M. Smith<br /> Title: Boosting Exploration of Low-Dimensional Game Spaces with Stale Human Demonstrations</p><p><a href="http://video.itu.dk/photo/71784053/boosting-exploration-of"><img src="http://video.itu.dk/64968575/71784053/503882a3bd37c58dfeaabfae1d5a07e5/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784053 Wed, 03 Nov 2021 12:18:26 GMT Boosting Exploration of Low-Dimensional Game Spaces with Stale Human... IEEE Conference on Games 2021 AI for Playing Games Author: Kenneth Chang and Adam M. Smith Title: Boosting Exploration of Low-Dimensional Game Spaces with Stale Human Demonstrations IEEE Conference on Games 2021 AI for Playing Games Author: Kenneth Chang and Adam M. Smith Title: Boosting Exploration of Low-Dimensional Game Spaces with Stale Human Demonstrations IT University of Copenhagen 09:08 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Kenneth Chang and Adam M. Smith<br /> Title: Boosting Exploration of Low-Dimensional Game Spaces with Stale Human Demonstrations</p><p><a href="http://video.itu.dk/photo/71784053/boosting-exploration-of"><img src="http://video.itu.dk/64968575/71784053/503882a3bd37c58dfeaabfae1d5a07e5/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784054/predicting-human-card-selection-in <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Timo Bertram, Johannes Fürnkranz and<br /> Martin Müller<br /> Title: Predicting Human Card Selection in Magic:<br /> The Gathering with Contextual Preference<br /> Ranking</p><p><a href="http://video.itu.dk/photo/71784054/predicting-human-card-selection-in"><img src="http://video.itu.dk/64968570/71784054/3b2d00192a3f85e9da30c8613a3046fa/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784054 Wed, 03 Nov 2021 12:18:26 GMT Predicting Human Card Selection in Magic: The Gathering with Contextual... IEEE Conference on Games 2021 AI for Playing Games Author: Timo Bertram, Johannes Fürnkranz and Martin Müller Title: Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking IEEE Conference on Games 2021 AI for Playing Games Author: Timo Bertram, Johannes Fürnkranz and Martin Müller Title: Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking IT University of Copenhagen 15:23 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Timo Bertram, Johannes Fürnkranz and<br /> Martin Müller<br /> Title: Predicting Human Card Selection in Magic:<br /> The Gathering with Contextual Preference<br /> Ranking</p><p><a href="http://video.itu.dk/photo/71784054/predicting-human-card-selection-in"><img src="http://video.itu.dk/64968570/71784054/3b2d00192a3f85e9da30c8613a3046fa/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784059/contrastive-learning-of-generalized <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Chintan Trivedi, Antonios Liapis and Georgios Yannakakis<br /> Title: Contrastive Learning of Generalized Game<br /> Representations</p><p><a href="http://video.itu.dk/photo/71784059/contrastive-learning-of-generalized"><img src="http://video.itu.dk/64968555/71784059/19eac4d453446638f714ad1235529cac/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784059 Wed, 03 Nov 2021 12:18:26 GMT Contrastive Learning of Generalized Game Representations IEEE Conference on Games 2021 AI for Playing Games Author: Chintan Trivedi, Antonios Liapis and Georgios Yannakakis Title: Contrastive Learning of Generalized Game Representations IEEE Conference on Games 2021 AI for Playing Games Author: Chintan Trivedi, Antonios Liapis and Georgios Yannakakis Title: Contrastive Learning of Generalized Game Representations IT University of Copenhagen 16:39 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Chintan Trivedi, Antonios Liapis and Georgios Yannakakis<br /> Title: Contrastive Learning of Generalized Game<br /> Representations</p><p><a href="http://video.itu.dk/photo/71784059/contrastive-learning-of-generalized"><img src="http://video.itu.dk/64968555/71784059/19eac4d453446638f714ad1235529cac/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784064/general-game-heuristic-prediction <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Matthew Stephenson, Dennis J. N. J. Soemers, Eric Piette and Cameron Browne<br /> Title: General Game Heuristic Prediction Based on Ludeme Descriptions</p><p><a href="http://video.itu.dk/photo/71784064/general-game-heuristic-prediction"><img src="http://video.itu.dk/64968568/71784064/0ecd8d8d685e79df2e54646ce59c2efa/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784064 Wed, 03 Nov 2021 12:18:26 GMT General Game Heuristic Prediction Based on Ludeme Descriptions IEEE Conference on Games 2021 AI for Playing Games Author: Matthew Stephenson, Dennis J. N. J. Soemers, Eric Piette and Cameron Browne Title: General Game Heuristic Prediction Based on Ludeme Descriptions IEEE Conference on Games 2021 AI for Playing Games Author: Matthew Stephenson, Dennis J. N. J. Soemers, Eric Piette and Cameron Browne Title: General Game Heuristic Prediction Based on Ludeme Descriptions IT University of Copenhagen 07:16 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Matthew Stephenson, Dennis J. N. J. Soemers, Eric Piette and Cameron Browne<br /> Title: General Game Heuristic Prediction Based on Ludeme Descriptions</p><p><a href="http://video.itu.dk/photo/71784064/general-game-heuristic-prediction"><img src="http://video.itu.dk/64968568/71784064/0ecd8d8d685e79df2e54646ce59c2efa/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784065/learning-to-both-act-and-observe-an <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Elizabeth Gilmour, Noah Plotkin and Leslie Smith<br /> Title: Learning to Both Act and Observe: An Approach to Partial Observability in Games</p><p><a href="http://video.itu.dk/photo/71784065/learning-to-both-act-and-observe-an"><img src="http://video.itu.dk/64968556/71784065/e96e71e309cc21d477ef47a072eaeeb6/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784065 Wed, 03 Nov 2021 12:18:26 GMT Learning to Both Act and Observe: An Approach to Partial Observability in... IEEE Conference on Games 2021 AI for Playing Games Author: Elizabeth Gilmour, Noah Plotkin and Leslie Smith Title: Learning to Both Act and Observe: An Approach to Partial Observability in Games IEEE Conference on Games 2021 AI for Playing Games Author: Elizabeth Gilmour, Noah Plotkin and Leslie Smith Title: Learning to Both Act and Observe: An Approach to Partial Observability in Games IT University of Copenhagen 10:02 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Elizabeth Gilmour, Noah Plotkin and Leslie Smith<br /> Title: Learning to Both Act and Observe: An Approach to Partial Observability in Games</p><p><a href="http://video.itu.dk/photo/71784065/learning-to-both-act-and-observe-an"><img src="http://video.itu.dk/64968556/71784065/e96e71e309cc21d477ef47a072eaeeb6/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784069/playout-optimization <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Lilian Buzer and Tristan Cazenave<br /> Title: Playout Optimization</p><p><a href="http://video.itu.dk/photo/71784069/playout-optimization"><img src="http://video.itu.dk/64968568/71784069/1028236d1ec9c45b253929d2f83acc2a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784069 Wed, 03 Nov 2021 12:11:33 GMT Playout Optimization IEEE Conference on Games 2021 AI for Playing Games Author: Lilian Buzer and Tristan Cazenave Title: Playout Optimization IEEE Conference on Games 2021 AI for Playing Games Author: Lilian Buzer and Tristan Cazenave Title: Playout Optimization IT University of Copenhagen 15:39 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Lilian Buzer and Tristan Cazenave<br /> Title: Playout Optimization</p><p><a href="http://video.itu.dk/photo/71784069/playout-optimization"><img src="http://video.itu.dk/64968568/71784069/1028236d1ec9c45b253929d2f83acc2a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784079/optimizing <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Tristan Cazenave, Swann Legras and<br /> Véronique Ventos<br /> Title: Optimizing αμ</p><p><a href="http://video.itu.dk/photo/71784079/optimizing"><img src="http://video.itu.dk/64968560/71784079/2e3295f7c52b84dc9d091519ea978014/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784079 Wed, 03 Nov 2021 12:11:33 GMT Optimizing αμ IEEE Conference on Games 2021 AI for Playing Games Author: Tristan Cazenave, Swann Legras and Véronique Ventos Title: Optimizing αμ IEEE Conference on Games 2021 AI for Playing Games Author: Tristan Cazenave, Swann Legras and Véronique Ventos Title: Optimizing αμ IT University of Copenhagen 15:39 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Tristan Cazenave, Swann Legras and<br /> Véronique Ventos<br /> Title: Optimizing αμ</p><p><a href="http://video.itu.dk/photo/71784079/optimizing"><img src="http://video.itu.dk/64968560/71784079/2e3295f7c52b84dc9d091519ea978014/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784082/fast-synthesis-of-algebraic <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Vadim Bulitko, Sergio Poo Hernandez and<br /> Levi Lelis<br /> Title: Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding</p><p><a href="http://video.itu.dk/photo/71784082/fast-synthesis-of-algebraic"><img src="http://video.itu.dk/64968570/71784082/dcf23deedfc58ba2930cec2876e13fcd/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784082 Wed, 03 Nov 2021 12:11:33 GMT Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding IEEE Conference on Games 2021 AI for Playing Games Author: Vadim Bulitko, Sergio Poo Hernandez and Levi Lelis Title: Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding IEEE Conference on Games 2021 AI for Playing Games Author: Vadim Bulitko, Sergio Poo Hernandez and Levi Lelis Title: Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding IT University of Copenhagen 11:09 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Vadim Bulitko, Sergio Poo Hernandez and<br /> Levi Lelis<br /> Title: Fast Synthesis of Algebraic Heuristic Functions for Video-game Pathfinding</p><p><a href="http://video.itu.dk/photo/71784082/fast-synthesis-of-algebraic"><img src="http://video.itu.dk/64968570/71784082/dcf23deedfc58ba2930cec2876e13fcd/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784087/a-new-challenge-approaching-tetris <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Matthias Müller-Brockhausen, Mike Preuss<br /> and Aske Plaat<br /> Title: A New Challenge: Approaching Tetris Link with AI</p><p><a href="http://video.itu.dk/photo/71784087/a-new-challenge-approaching-tetris"><img src="http://video.itu.dk/64968577/71784087/cc8690c7d18c4b209a3d433c035530e2/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784087 Wed, 03 Nov 2021 12:11:33 GMT A New Challenge: Approaching Tetris Link with AI IEEE Conference on Games 2021 AI for Playing Games Author: Matthias Müller-Brockhausen, Mike Preuss and Aske Plaat Title: A New Challenge: Approaching Tetris Link with AI IEEE Conference on Games 2021 AI for Playing Games Author: Matthias Müller-Brockhausen, Mike Preuss and Aske Plaat Title: A New Challenge: Approaching Tetris Link with AI IT University of Copenhagen 14:04 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Matthias Müller-Brockhausen, Mike Preuss<br /> and Aske Plaat<br /> Title: A New Challenge: Approaching Tetris Link with AI</p><p><a href="http://video.itu.dk/photo/71784087/a-new-challenge-approaching-tetris"><img src="http://video.itu.dk/64968577/71784087/cc8690c7d18c4b209a3d433c035530e2/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784120/improving-model-and-search-for <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Tristan Cazenave<br /> Title: Improving Model and Search for Computer Go</p><p><a href="http://video.itu.dk/photo/71784120/improving-model-and-search-for"><img src="http://video.itu.dk/64968568/71784120/7d2b83586835afd5079fd2e5342013a3/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784120 Wed, 03 Nov 2021 12:11:33 GMT Improving Model and Search for Computer Go IEEE Conference on Games 2021 AI for Playing Games Author: Tristan Cazenave Title: Improving Model and Search for Computer Go IEEE Conference on Games 2021 AI for Playing Games Author: Tristan Cazenave Title: Improving Model and Search for Computer Go IT University of Copenhagen 17:22 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Tristan Cazenave<br /> Title: Improving Model and Search for Computer Go</p><p><a href="http://video.itu.dk/photo/71784120/improving-model-and-search-for"><img src="http://video.itu.dk/64968568/71784120/7d2b83586835afd5079fd2e5342013a3/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784127/automatic-goal-discovery-in-subgoal <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana<br /> Title: Automatic Goal Discovery in Subgoal Monte<br /> Carlo Tree Search</p><p><a href="http://video.itu.dk/photo/71784127/automatic-goal-discovery-in-subgoal"><img src="http://video.itu.dk/64968556/71784127/115d2fe7fb6212bb3297226c86d943f3/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784127 Wed, 03 Nov 2021 12:11:33 GMT Automatic Goal Discovery in Subgoal Monte Carlo Tree Search IEEE Conference on Games 2021 AI for Playing Games Author: IEEE Conference on Games 2021 AI for Playing Games Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana Title: Automatic Goal Discovery in Subgoal Monte Carlo Tree Search IEEE Conference on Games 2021 AI for Playing Games Author: IEEE Conference on Games 2021 AI for Playing Games Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana Title: Automatic Goal Discovery in Subgoal Monte Carlo... IT University of Copenhagen 00:08 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Dominik Jeurissen, Mark Winands, Chiara Sironi and Diego Perez Liebana<br /> Title: Automatic Goal Discovery in Subgoal Monte<br /> Carlo Tree Search</p><p><a href="http://video.itu.dk/photo/71784127/automatic-goal-discovery-in-subgoal"><img src="http://video.itu.dk/64968556/71784127/115d2fe7fb6212bb3297226c86d943f3/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784128/real-time-stress-detection-model <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Arushi Arushi, Roberto Dillon and Ai Ni Teoh<br /> Title: Real time Stress Detection Model and Voice Analysis: An Integrated VR based Game for Training Public Speaking Skills</p><p><a href="http://video.itu.dk/photo/71784128/real-time-stress-detection-model"><img src="http://video.itu.dk/64968558/71784128/ed66ce26a47d4fd5e06cc5b3d818f40b/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784128 Wed, 03 Nov 2021 12:11:33 GMT Real time Stress Detection Model and Voice Analysis: An Integrated VR based... IEEE Conference on Games 2021 AI for Playing Games Author: Arushi Arushi, Roberto Dillon and Ai Ni Teoh Title: Real time Stress Detection Model and Voice Analysis: An Integrated VR based Game for Training Public Speaking Skills IEEE Conference on Games 2021 AI for Playing Games Author: Arushi Arushi, Roberto Dillon and Ai Ni Teoh Title: Real time Stress Detection Model and Voice Analysis: An Integrated VR based Game for Training Public Speaking Skills IT University of Copenhagen 08:50 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Arushi Arushi, Roberto Dillon and Ai Ni Teoh<br /> Title: Real time Stress Detection Model and Voice Analysis: An Integrated VR based Game for Training Public Speaking Skills</p><p><a href="http://video.itu.dk/photo/71784128/real-time-stress-detection-model"><img src="http://video.itu.dk/64968558/71784128/ed66ce26a47d4fd5e06cc5b3d818f40b/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784139/generalization-of-agent-behavior <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Cem Tutum, Suhaib Abdulquddos and Risto<br /> Miikkulainen<br /> Title: Generalization of Agent Behavior through Explicit Representation of Context</p><p><a href="http://video.itu.dk/photo/71784139/generalization-of-agent-behavior"><img src="http://video.itu.dk/64968559/71784139/0b3d7a5d718f18e4505dff4222aa5d2a/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784139 Wed, 03 Nov 2021 12:11:33 GMT Generalization of Agent Behavior through Explicit Representation of Context IEEE Conference on Games 2021 AI for Playing Games Author: Cem Tutum, Suhaib Abdulquddos and Risto Miikkulainen Title: Generalization of Agent Behavior through Explicit Representation of Context IEEE Conference on Games 2021 AI for Playing Games Author: Cem Tutum, Suhaib Abdulquddos and Risto Miikkulainen Title: Generalization of Agent Behavior through Explicit Representation of Context IT University of Copenhagen 15:13 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Cem Tutum, Suhaib Abdulquddos and Risto<br /> Miikkulainen<br /> Title: Generalization of Agent Behavior through Explicit Representation of Context</p><p><a href="http://video.itu.dk/photo/71784139/generalization-of-agent-behavior"><img src="http://video.itu.dk/64968559/71784139/0b3d7a5d718f18e4505dff4222aa5d2a/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784143/evaluating-a-plan-recognition-agent <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Pablo Sauma-Chacón and Markus Eger<br /> Title: Evaluating a Plan Recognition Agent for the<br /> Game Pandemic with Human Players</p><p><a href="http://video.itu.dk/photo/71784143/evaluating-a-plan-recognition-agent"><img src="http://video.itu.dk/64968566/71784143/d20b0248d0c146ed1001a4f57ee10f31/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784143 Wed, 03 Nov 2021 12:11:33 GMT Evaluating a Plan Recognition Agent for the Game Pandemic with Human Players IEEE Conference on Games 2021 AI for Playing Games Author: Pablo Sauma-Chacón and Markus Eger Title: Evaluating a Plan Recognition Agent for the Game Pandemic with Human Players IEEE Conference on Games 2021 AI for Playing Games Author: Pablo Sauma-Chacón and Markus Eger Title: Evaluating a Plan Recognition Agent for the Game Pandemic with Human Players IT University of Copenhagen 16:57 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Pablo Sauma-Chacón and Markus Eger<br /> Title: Evaluating a Plan Recognition Agent for the<br /> Game Pandemic with Human Players</p><p><a href="http://video.itu.dk/photo/71784143/evaluating-a-plan-recognition-agent"><img src="http://video.itu.dk/64968566/71784143/d20b0248d0c146ed1001a4f57ee10f31/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784153/gomokunet-a-novel-unet-style <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Yifan Gao, Lezhou Wu and Haoyue Li<br /> Title: GomokuNet: A Novel UNet-style Network for<br /> Gomoku Zero Learning via Exploiting<br /> Positional Information and Multiscale<br /> Features</p><p><a href="http://video.itu.dk/photo/71784153/gomokunet-a-novel-unet-style"><img src="http://video.itu.dk/64968570/71784153/76e0eb827ec950919a03442bfcc82bca/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784153 Wed, 03 Nov 2021 12:11:33 GMT GomokuNet: A Novel UNet-style Network for Gomoku Zero Learning via... IEEE Conference on Games 2021 AI for Playing Games Author: Yifan Gao, Lezhou Wu and Haoyue Li Title: GomokuNet: A Novel UNet-style Network for Gomoku Zero Learning via Exploiting Positional Information and Multiscale Features IEEE Conference on Games 2021 AI for Playing Games Author: Yifan Gao, Lezhou Wu and Haoyue Li Title: GomokuNet: A Novel UNet-style Network for Gomoku Zero Learning via Exploiting Positional Information and Multiscale Features IT University of Copenhagen 08:56 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Yifan Gao, Lezhou Wu and Haoyue Li<br /> Title: GomokuNet: A Novel UNet-style Network for<br /> Gomoku Zero Learning via Exploiting<br /> Positional Information and Multiscale<br /> Features</p><p><a href="http://video.itu.dk/photo/71784153/gomokunet-a-novel-unet-style"><img src="http://video.itu.dk/64968570/71784153/76e0eb827ec950919a03442bfcc82bca/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784155/agents-that-listen-high-throughput <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Karkala Hegde, Anssi Kanervisto and Aleksei<br /> Petrenko<br /> Title: Agents that Listen: High-Throughput<br /> Reinforcement Learning with Multiple<br /> Sensory Systems</p><p><a href="http://video.itu.dk/photo/71784155/agents-that-listen-high-throughput"><img src="http://video.itu.dk/64968576/71784155/4cb480fa2a86a1069834e0a10e4ac674/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784155 Wed, 03 Nov 2021 12:11:33 GMT Agents that Listen: High-Throughput Reinforcement Learning with Multiple... IEEE Conference on Games 2021 AI for Playing Games Author: Karkala Hegde, Anssi Kanervisto and Aleksei Petrenko Title: Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems IEEE Conference on Games 2021 AI for Playing Games Author: Karkala Hegde, Anssi Kanervisto and Aleksei Petrenko Title: Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems IT University of Copenhagen 10:00 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Karkala Hegde, Anssi Kanervisto and Aleksei<br /> Petrenko<br /> Title: Agents that Listen: High-Throughput<br /> Reinforcement Learning with Multiple<br /> Sensory Systems</p><p><a href="http://video.itu.dk/photo/71784155/agents-that-listen-high-throughput"><img src="http://video.itu.dk/64968576/71784155/4cb480fa2a86a1069834e0a10e4ac674/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784163/skeleton-based-multi-agent-opponent <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Wael Al Enezi and Clark Verbrugge<br /> Title: Skeleton-based multi-agent opponent<br /> search</p><p><a href="http://video.itu.dk/photo/71784163/skeleton-based-multi-agent-opponent"><img src="http://video.itu.dk/64968556/71784163/0de7911fd670aa55f60cbd5a132255c1/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784163 Wed, 03 Nov 2021 12:11:33 GMT Skeleton-based multi-agent opponent search IEEE Conference on Games 2021 AI for Playing Games Author: Wael Al Enezi and Clark Verbrugge Title: Skeleton-based multi-agent opponent search IEEE Conference on Games 2021 AI for Playing Games Author: Wael Al Enezi and Clark Verbrugge Title: Skeleton-based multi-agent opponent search IT University of Copenhagen 16:13 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Wael Al Enezi and Clark Verbrugge<br /> Title: Skeleton-based multi-agent opponent<br /> search</p><p><a href="http://video.itu.dk/photo/71784163/skeleton-based-multi-agent-opponent"><img src="http://video.itu.dk/64968556/71784163/0de7911fd670aa55f60cbd5a132255c1/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784167/hierarchical-advantage-for <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Zhejie Hu and Tomoyuki Kaneko<br /> Title: Hierarchical Advantage for Reinforcement<br /> Learning in Parameterized Action Space</p><p><a href="http://video.itu.dk/photo/71784167/hierarchical-advantage-for"><img src="http://video.itu.dk/64968577/71784167/6f3adcf41df8ae9d8cee9c23e880b901/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784167 Wed, 03 Nov 2021 12:11:33 GMT Hierarchical Advantage for Reinforcement Learning in Parameterized Action Space IEEE Conference on Games 2021 AI for Playing Games Author: Zhejie Hu and Tomoyuki Kaneko Title: Hierarchical Advantage for Reinforcement Learning in Parameterized Action Space IEEE Conference on Games 2021 AI for Playing Games Author: Zhejie Hu and Tomoyuki Kaneko Title: Hierarchical Advantage for Reinforcement Learning in Parameterized Action Space IT University of Copenhagen 15:04 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Zhejie Hu and Tomoyuki Kaneko<br /> Title: Hierarchical Advantage for Reinforcement<br /> Learning in Parameterized Action Space</p><p><a href="http://video.itu.dk/photo/71784167/hierarchical-advantage-for"><img src="http://video.itu.dk/64968577/71784167/6f3adcf41df8ae9d8cee9c23e880b901/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784169/proximal-policy-optimization-with <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Rongqin Liang et al.<br /> Title: Proximal Policy Optimization with Elo-based Opponent Selection and<br /> Combination with Enhanced Rolling<br /> Horizon Evolution Algorithm</p><p><a href="http://video.itu.dk/photo/71784169/proximal-policy-optimization-with"><img src="http://video.itu.dk/64968561/71784169/954bf7ba7e88f6403146b56c62ce55e3/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784169 Wed, 03 Nov 2021 12:11:33 GMT Proximal Policy Optimization with Elo-based Opponent Selection and... IEEE Conference on Games 2021 AI for Playing Games Author: Rongqin Liang et al. Title: Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm IEEE Conference on Games 2021 AI for Playing Games Author: Rongqin Liang et al. Title: Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm IT University of Copenhagen 08:32 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Rongqin Liang et al.<br /> Title: Proximal Policy Optimization with Elo-based Opponent Selection and<br /> Combination with Enhanced Rolling<br /> Horizon Evolution Algorithm</p><p><a href="http://video.itu.dk/photo/71784169/proximal-policy-optimization-with"><img src="http://video.itu.dk/64968561/71784169/954bf7ba7e88f6403146b56c62ce55e3/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784213/multi-objective-optimization-and <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Alexander Dockhorn et al<br /> Title: Multi-Objective Optimization and DecisionMaking in Context Steering</p><p><a href="http://video.itu.dk/photo/71784213/multi-objective-optimization-and"><img src="http://video.itu.dk/64968577/71784213/a4f979a036267fbd1867bd923026f49d/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784213 Wed, 03 Nov 2021 12:11:33 GMT Multi-Objective Optimization and DecisionMaking in Context Steering IEEE Conference on Games 2021 AI for Playing Games Author: Alexander Dockhorn et al Title: Multi-Objective Optimization and DecisionMaking in Context Steering IEEE Conference on Games 2021 AI for Playing Games Author: Alexander Dockhorn et al Title: Multi-Objective Optimization and DecisionMaking in Context Steering IT University of Copenhagen 14:34 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Alexander Dockhorn et al<br /> Title: Multi-Objective Optimization and DecisionMaking in Context Steering</p><p><a href="http://video.itu.dk/photo/71784213/multi-objective-optimization-and"><img src="http://video.itu.dk/64968577/71784213/a4f979a036267fbd1867bd923026f49d/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784222/extending-the-goal-oriented-action <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Gautier Boeda<br /> Title: Extending the Goal Oriented Action Planner: Use Case in Character User Interaction</p><p><a href="http://video.itu.dk/photo/71784222/extending-the-goal-oriented-action"><img src="http://video.itu.dk/64968558/71784222/dd92a01465cbb8e943afbb422e5924f0/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784222 Wed, 03 Nov 2021 12:11:33 GMT Extending the Goal Oriented Action Planner: Use Case in Character User... IEEE Conference on Games 2021 AI for Playing Games Author: Gautier Boeda Title: Extending the Goal Oriented Action Planner: Use Case in Character User Interaction IEEE Conference on Games 2021 AI for Playing Games Author: Gautier Boeda Title: Extending the Goal Oriented Action Planner: Use Case in Character User Interaction IT University of Copenhagen 17:44 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Gautier Boeda<br /> Title: Extending the Goal Oriented Action Planner: Use Case in Character User Interaction</p><p><a href="http://video.itu.dk/photo/71784222/extending-the-goal-oriented-action"><img src="http://video.itu.dk/64968558/71784222/dd92a01465cbb8e943afbb422e5924f0/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784226/towards-an-ai-playing-touhou-from <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Dario Ostuni and Ettore Tancredi Galante<br /> Title: Towards an AI playing Touhou from pixels:<br /> a dataset for real-time semantic<br /> segmentation</p><p><a href="http://video.itu.dk/photo/71784226/towards-an-ai-playing-touhou-from"><img src="http://video.itu.dk/64968569/71784226/7d37d17e507af192ca1e46fc6ba625b8/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784226 Wed, 03 Nov 2021 12:11:33 GMT Towards an AI playing Touhou from pixels: a dataset for real-time semantic... IEEE Conference on Games 2021 AI for Playing Games Author: Dario Ostuni and Ettore Tancredi Galante Title: Towards an AI playing Touhou from pixels: a dataset for real-time semantic segmentation IEEE Conference on Games 2021 AI for Playing Games Author: Dario Ostuni and Ettore Tancredi Galante Title: Towards an AI playing Touhou from pixels: a dataset for real-time semantic segmentation IT University of Copenhagen 09:50 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Dario Ostuni and Ettore Tancredi Galante<br /> Title: Towards an AI playing Touhou from pixels:<br /> a dataset for real-time semantic<br /> segmentation</p><p><a href="http://video.itu.dk/photo/71784226/towards-an-ai-playing-touhou-from"><img src="http://video.itu.dk/64968569/71784226/7d37d17e507af192ca1e46fc6ba625b8/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784283/training-a-reinforcement-learning <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Johannes Büttner and Sebastian von<br /> Mammen<br /> Title: Training a Reinforcement Learning Agent<br /> based on XCS in a Competitive Snake<br /> Environment</p><p><a href="http://video.itu.dk/photo/71784283/training-a-reinforcement-learning"><img src="http://video.itu.dk/64968558/71784283/196adf8d1b218dec4e7f8cff2bf61c7f/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784283 Wed, 03 Nov 2021 12:11:33 GMT Training a Reinforcement Learning Agent based on XCS in a Competitive Snake... IEEE Conference on Games 2021 AI for Playing Games Author: Johannes Büttner and Sebastian von Mammen Title: Training a Reinforcement Learning Agent based on XCS in a Competitive Snake Environment IEEE Conference on Games 2021 AI for Playing Games Author: Johannes Büttner and Sebastian von Mammen Title: Training a Reinforcement Learning Agent based on XCS in a Competitive Snake Environment IT University of Copenhagen 08:40 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Johannes Büttner and Sebastian von<br /> Mammen<br /> Title: Training a Reinforcement Learning Agent<br /> based on XCS in a Competitive Snake<br /> Environment</p><p><a href="http://video.itu.dk/photo/71784283/training-a-reinforcement-learning"><img src="http://video.itu.dk/64968558/71784283/196adf8d1b218dec4e7f8cff2bf61c7f/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784284/capacity-limited-decentralized <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Tyler Malloy et al.<br /> Title: Capacity-Limited Decentralized Actor-Critic<br /> for Multi-Agent Games</p><p><a href="http://video.itu.dk/photo/71784284/capacity-limited-decentralized"><img src="http://video.itu.dk/64968555/71784284/5384b09262c2a5e7fa4b53a52c2bca83/standard/download-5-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784284 Wed, 03 Nov 2021 12:11:33 GMT Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games IEEE Conference on Games 2021 AI for Playing Games Author: Tyler Malloy et al. Title: Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games IEEE Conference on Games 2021 AI for Playing Games Author: Tyler Malloy et al. Title: Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games IT University of Copenhagen 17:14 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Tyler Malloy et al.<br /> Title: Capacity-Limited Decentralized Actor-Critic<br /> for Multi-Agent Games</p><p><a href="http://video.itu.dk/photo/71784284/capacity-limited-decentralized"><img src="http://video.itu.dk/64968555/71784284/5384b09262c2a5e7fa4b53a52c2bca83/standard/download-5-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784287/map-elites-to-generate-a-team-of <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Cristina Guerrero-Romero and Diego Perez<br /> Liebana<br /> Title: MAP-Elites to Generate a Team of Agents<br /> that Elicits Diverse Automated Gameplay</p><p><a href="http://video.itu.dk/photo/71784287/map-elites-to-generate-a-team-of"><img src="http://video.itu.dk/64968566/71784287/4bcdd969b62ed561ee5a327e2532e71e/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784287 Wed, 03 Nov 2021 12:11:33 GMT MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay IEEE Conference on Games 2021 AI for Playing Games Author: Cristina Guerrero-Romero and Diego Perez Liebana Title: MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay IEEE Conference on Games 2021 AI for Playing Games Author: Cristina Guerrero-Romero and Diego Perez Liebana Title: MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay IT University of Copenhagen 19:50 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Cristina Guerrero-Romero and Diego Perez<br /> Liebana<br /> Title: MAP-Elites to Generate a Team of Agents<br /> that Elicits Diverse Automated Gameplay</p><p><a href="http://video.itu.dk/photo/71784287/map-elites-to-generate-a-team-of"><img src="http://video.itu.dk/64968566/71784287/4bcdd969b62ed561ee5a327e2532e71e/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784290/distilling-reinforcement-learning <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Anssi Kanervisto, Christian Scheller, Yanick<br /> Schraner and Ville Hautamaki<br /> Title: Distilling Reinforcement Learning Tricks for<br /> Video Games</p><p><a href="http://video.itu.dk/photo/71784290/distilling-reinforcement-learning"><img src="http://video.itu.dk/64968566/71784290/0dc5c14d6c534d62b4b59dce5cda616a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784290 Wed, 03 Nov 2021 12:11:33 GMT Distilling Reinforcement Learning Tricks for Video Games IEEE Conference on Games 2021 AI for Playing Games Author: Anssi Kanervisto, Christian Scheller, Yanick Schraner and Ville Hautamaki Title: Distilling Reinforcement Learning Tricks for Video Games IEEE Conference on Games 2021 AI for Playing Games Author: Anssi Kanervisto, Christian Scheller, Yanick Schraner and Ville Hautamaki Title: Distilling Reinforcement Learning Tricks for Video Games IT University of Copenhagen 06:39 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Anssi Kanervisto, Christian Scheller, Yanick<br /> Schraner and Ville Hautamaki<br /> Title: Distilling Reinforcement Learning Tricks for<br /> Video Games</p><p><a href="http://video.itu.dk/photo/71784290/distilling-reinforcement-learning"><img src="http://video.itu.dk/64968566/71784290/0dc5c14d6c534d62b4b59dce5cda616a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784293/maidrl-semi-centralized-multi-agent <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Anthony Harris and Siming Liu<br /> Title: MAIDRL: Semi-centralized Multi-Agent<br /> Reinforcement Learning using Agent<br /> Influence</p><p><a href="http://video.itu.dk/photo/71784293/maidrl-semi-centralized-multi-agent"><img src="http://video.itu.dk/64968568/71784293/4c51e69d93bfdeb6709ca2a762a90aec/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784293 Wed, 03 Nov 2021 12:11:33 GMT MAIDRL: Semi-centralized Multi-Agent Reinforcement Learning using Agent... IEEE Conference on Games 2021 AI for Playing Games Author: Anthony Harris and Siming Liu Title: MAIDRL: Semi-centralized Multi-Agent Reinforcement Learning using Agent Influence IEEE Conference on Games 2021 AI for Playing Games Author: Anthony Harris and Siming Liu Title: MAIDRL: Semi-centralized Multi-Agent Reinforcement Learning using Agent Influence IT University of Copenhagen 17:35 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Anthony Harris and Siming Liu<br /> Title: MAIDRL: Semi-centralized Multi-Agent<br /> Reinforcement Learning using Agent<br /> Influence</p><p><a href="http://video.itu.dk/photo/71784293/maidrl-semi-centralized-multi-agent"><img src="http://video.itu.dk/64968568/71784293/4c51e69d93bfdeb6709ca2a762a90aec/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784303/evolving-romanian-crossword-puzzles <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Vadim Bulitko and Adi Botea<br /> Title: Evolving Romanian Crossword Puzzles with<br /> Deep Learning and Heuristic Search</p><p><a href="http://video.itu.dk/photo/71784303/evolving-romanian-crossword-puzzles"><img src="http://video.itu.dk/64968576/71784303/90c44fa5c5918a7ed99d16fe6e76907c/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784303 Wed, 03 Nov 2021 12:11:33 GMT Evolving Romanian Crossword Puzzles with Deep Learning and Heuristic Search IEEE Conference on Games 2021 AI for Playing Games Author: Vadim Bulitko and Adi Botea Title: Evolving Romanian Crossword Puzzles with Deep Learning and Heuristic Search IEEE Conference on Games 2021 AI for Playing Games Author: Vadim Bulitko and Adi Botea Title: Evolving Romanian Crossword Puzzles with Deep Learning and Heuristic Search IT University of Copenhagen 10:49 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Vadim Bulitko and Adi Botea<br /> Title: Evolving Romanian Crossword Puzzles with<br /> Deep Learning and Heuristic Search</p><p><a href="http://video.itu.dk/photo/71784303/evolving-romanian-crossword-puzzles"><img src="http://video.itu.dk/64968576/71784303/90c44fa5c5918a7ed99d16fe6e76907c/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784304/policy-fusion-for-adaptive-and <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Alessandro Sestini, Andrew David Bagdanov<br /> and Alexander Kuhnle<br /> Title: Policy Fusion for Adaptive and Customizable<br /> Reinforcement Learning Agents</p><p><a href="http://video.itu.dk/photo/71784304/policy-fusion-for-adaptive-and"><img src="http://video.itu.dk/64968567/71784304/396ef2af9e3f25ffd66365a9d567b3f2/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784304 Wed, 03 Nov 2021 12:11:33 GMT Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents IEEE Conference on Games 2021 AI for Playing Games Author: Alessandro Sestini, Andrew David Bagdanov and Alexander Kuhnle Title: Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents IEEE Conference on Games 2021 AI for Playing Games Author: Alessandro Sestini, Andrew David Bagdanov and Alexander Kuhnle Title: Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents IT University of Copenhagen 17:09 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Alessandro Sestini, Andrew David Bagdanov<br /> and Alexander Kuhnle<br /> Title: Policy Fusion for Adaptive and Customizable<br /> Reinforcement Learning Agents</p><p><a href="http://video.itu.dk/photo/71784304/policy-fusion-for-adaptive-and"><img src="http://video.itu.dk/64968567/71784304/396ef2af9e3f25ffd66365a9d567b3f2/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784307/estimates-for-the-branching-factors <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Mark J. Nelson<br /> Title: Estimates for the Branching Factors of Atari<br /> Games</p><p><a href="http://video.itu.dk/photo/71784307/estimates-for-the-branching-factors"><img src="http://video.itu.dk/64968559/71784307/bd811bc74e79e623b815e8176735ad72/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784307 Wed, 03 Nov 2021 12:11:33 GMT Estimates for the Branching Factors of Atari Games IEEE Conference on Games 2021 AI for Playing Games Author: Mark J. Nelson Title: Estimates for the Branching Factors of Atari Games IEEE Conference on Games 2021 AI for Playing Games Author: Mark J. Nelson Title: Estimates for the Branching Factors of Atari Games IT University of Copenhagen 09:07 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Mark J. Nelson<br /> Title: Estimates for the Branching Factors of Atari<br /> Games</p><p><a href="http://video.itu.dk/photo/71784307/estimates-for-the-branching-factors"><img src="http://video.itu.dk/64968559/71784307/bd811bc74e79e623b815e8176735ad72/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784311/demonstration-efficient-inverse <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Alessandro Sestini, Andrew David Bagdanov<br /> and Alexander Kuhnle<br /> Title: Demonstration-Efficient Inverse<br /> Reinforcement Learning in Procedurally<br /> Generated Environments</p><p><a href="http://video.itu.dk/photo/71784311/demonstration-efficient-inverse"><img src="http://video.itu.dk/64968580/71784311/3d3775f25c1e27c43e06a380da0ff327/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784311 Wed, 03 Nov 2021 12:11:33 GMT Demonstration-Efficient Inverse Reinforcement Learning in Procedurally... IEEE Conference on Games 2021 AI for Playing Games Author: Alessandro Sestini, Andrew David Bagdanov and Alexander Kuhnle Title: Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments IEEE Conference on Games 2021 AI for Playing Games Author: Alessandro Sestini, Andrew David Bagdanov and Alexander Kuhnle Title: Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments IT University of Copenhagen 14:56 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Alessandro Sestini, Andrew David Bagdanov<br /> and Alexander Kuhnle<br /> Title: Demonstration-Efficient Inverse<br /> Reinforcement Learning in Procedurally<br /> Generated Environments</p><p><a href="http://video.itu.dk/photo/71784311/demonstration-efficient-inverse"><img src="http://video.itu.dk/64968580/71784311/3d3775f25c1e27c43e06a380da0ff327/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784314/sneak-attacks-in-starcraft-using <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Lucas Critch and David Churchill<br /> Title: Sneak-Attacks in StarCraft using Influence<br /> Maps with Heuristic Search</p><p><a href="http://video.itu.dk/photo/71784314/sneak-attacks-in-starcraft-using"><img src="http://video.itu.dk/64968567/71784314/7ffcf1092fb6bf53f166baac37feddef/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784314 Wed, 03 Nov 2021 12:11:33 GMT Sneak-Attacks in StarCraft using Influence Maps with Heuristic Search IEEE Conference on Games 2021 AI for Playing Games Author: Lucas Critch and David Churchill Title: Sneak-Attacks in StarCraft using Influence Maps with Heuristic Search IEEE Conference on Games 2021 AI for Playing Games Author: Lucas Critch and David Churchill Title: Sneak-Attacks in StarCraft using Influence Maps with Heuristic Search IT University of Copenhagen 18:19 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Lucas Critch and David Churchill<br /> Title: Sneak-Attacks in StarCraft using Influence<br /> Maps with Heuristic Search</p><p><a href="http://video.itu.dk/photo/71784314/sneak-attacks-in-starcraft-using"><img src="http://video.itu.dk/64968567/71784314/7ffcf1092fb6bf53f166baac37feddef/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784316/identifying-playstyles-in-games <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Yu Iwasaki and Koji Hasebe<br /> Title: Identifying Playstyles in Games with NEAT<br /> and Clustering</p><p><a href="http://video.itu.dk/photo/71784316/identifying-playstyles-in-games"><img src="http://video.itu.dk/64968568/71784316/ebfa671e4380ffa3d785bebb4286c789/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784316 Wed, 03 Nov 2021 12:11:32 GMT Identifying Playstyles in Games with NEAT and Clustering IEEE Conference on Games 2021 AI for Playing Games Author: Yu Iwasaki and Koji Hasebe Title: Identifying Playstyles in Games with NEAT and Clustering IEEE Conference on Games 2021 AI for Playing Games Author: Yu Iwasaki and Koji Hasebe Title: Identifying Playstyles in Games with NEAT and Clustering IT University of Copenhagen 08:08 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Yu Iwasaki and Koji Hasebe<br /> Title: Identifying Playstyles in Games with NEAT<br /> and Clustering</p><p><a href="http://video.itu.dk/photo/71784316/identifying-playstyles-in-games"><img src="http://video.itu.dk/64968568/71784316/ebfa671e4380ffa3d785bebb4286c789/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784321/distance-based-mapping-for-general <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Joshua Jung and Jesse Hoey<br /> Title: Distance-Based Mapping for General<br /> Game Playing</p><p><a href="http://video.itu.dk/photo/71784321/distance-based-mapping-for-general"><img src="http://video.itu.dk/64968579/71784321/9b88fe2d750cf7ea63907537b1441e20/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784321 Wed, 03 Nov 2021 12:11:32 GMT Distance-Based Mapping for General Game Playing IEEE Conference on Games 2021 AI for Playing Games Author: Joshua Jung and Jesse Hoey Title: Distance-Based Mapping for General Game Playing IEEE Conference on Games 2021 AI for Playing Games Author: Joshua Jung and Jesse Hoey Title: Distance-Based Mapping for General Game Playing IT University of Copenhagen 16:05 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Joshua Jung and Jesse Hoey<br /> Title: Distance-Based Mapping for General<br /> Game Playing</p><p><a href="http://video.itu.dk/photo/71784321/distance-based-mapping-for-general"><img src="http://video.itu.dk/64968579/71784321/9b88fe2d750cf7ea63907537b1441e20/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784322/honey-i-shrunk-the-actor-a-case <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Siddharth Mysore, Bassel El Mabsout,<br /> Renato Mancuso and Kate Saenko<br /> Title: Honey, I Shrunk The Actor: A Case Study on<br /> Preserving Performance with Smaller<br /> Actors in Actor-Critic RL</p><p><a href="http://video.itu.dk/photo/71784322/honey-i-shrunk-the-actor-a-case"><img src="http://video.itu.dk/64968577/71784322/0ed9eb1ae3cf295fa18cbd9df95495e7/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784322 Wed, 03 Nov 2021 12:11:32 GMT Honey, I Shrunk The Actor: A Case Study on Preserving Performance with... IEEE Conference on Games 2021 AI for Playing Games Author: Siddharth Mysore, Bassel El Mabsout, Renato Mancuso and Kate Saenko Title: Honey, I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL IEEE Conference on Games 2021 AI for Playing Games Author: Siddharth Mysore, Bassel El Mabsout, Renato Mancuso and Kate Saenko Title: Honey, I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL IT University of Copenhagen 16:10 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Siddharth Mysore, Bassel El Mabsout,<br /> Renato Mancuso and Kate Saenko<br /> Title: Honey, I Shrunk The Actor: A Case Study on<br /> Preserving Performance with Smaller<br /> Actors in Actor-Critic RL</p><p><a href="http://video.itu.dk/photo/71784322/honey-i-shrunk-the-actor-a-case"><img src="http://video.itu.dk/64968577/71784322/0ed9eb1ae3cf295fa18cbd9df95495e7/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784328/distance-based-mapping-for-general-1 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Joshua Jung and Jesse Hoey<br /> Title: Distance-Based Mapping for General Game Playing</p><p><a href="http://video.itu.dk/photo/71784328/distance-based-mapping-for-general-1"><img src="http://video.itu.dk/64968580/71784328/1e2f31a6361d4491d49e1f228a8ecb28/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784328 Wed, 03 Nov 2021 12:07:44 GMT Distance-Based Mapping for General Game Playing IEEE Conference on Games 2021 AI for Playing Games Author: Joshua Jung and Jesse Hoey Title: Distance-Based Mapping for General Game Playing IEEE Conference on Games 2021 AI for Playing Games Author: Joshua Jung and Jesse Hoey Title: Distance-Based Mapping for General Game Playing IT University of Copenhagen 16:10 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Joshua Jung and Jesse Hoey<br /> Title: Distance-Based Mapping for General Game Playing</p><p><a href="http://video.itu.dk/photo/71784328/distance-based-mapping-for-general-1"><img src="http://video.itu.dk/64968580/71784328/1e2f31a6361d4491d49e1f228a8ecb28/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784331/honey-i-shrunk-the-actor-a-case-1 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Siddharth Mysore, Bassel El Mabsout,<br /> Renato Mancuso and Kate Saenko<br /> Title: Honey, I Shrunk The Actor: A Case Study on<br /> Preserving Performance with Smaller<br /> Actors in Actor-Critic RL</p><p><a href="http://video.itu.dk/photo/71784331/honey-i-shrunk-the-actor-a-case-1"><img src="http://video.itu.dk/64968555/71784331/39901c8a9f9d61832ea203edfe6c5c9a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784331 Wed, 03 Nov 2021 12:07:43 GMT Honey, I Shrunk The Actor: A Case Study on Preserving Performance with... IEEE Conference on Games 2021 AI for Playing Games Author: Siddharth Mysore, Bassel El Mabsout, Renato Mancuso and Kate Saenko Title: Honey, I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL IEEE Conference on Games 2021 AI for Playing Games Author: Siddharth Mysore, Bassel El Mabsout, Renato Mancuso and Kate Saenko Title: Honey, I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL IT University of Copenhagen 17:28 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Siddharth Mysore, Bassel El Mabsout,<br /> Renato Mancuso and Kate Saenko<br /> Title: Honey, I Shrunk The Actor: A Case Study on<br /> Preserving Performance with Smaller<br /> Actors in Actor-Critic RL</p><p><a href="http://video.itu.dk/photo/71784331/honey-i-shrunk-the-actor-a-case-1"><img src="http://video.itu.dk/64968555/71784331/39901c8a9f9d61832ea203edfe6c5c9a/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784334/towards-solving-the-7-in-a-row-game <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Domonkos Czifra, Endre Csóka, Zsolt<br /> Zombori and Géza Makai<br /> Title: Towards solving the 7-in-a-row game</p><p><a href="http://video.itu.dk/photo/71784334/towards-solving-the-7-in-a-row-game"><img src="http://video.itu.dk/64968568/71784334/86af02aeeec9fcdf4d28624e4caa0820/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784334 Wed, 03 Nov 2021 12:07:43 GMT Towards solving the 7-in-a-row game IEEE Conference on Games 2021 AI for Playing Games Author: Domonkos Czifra, Endre Csóka, Zsolt Zombori and Géza Makai Title: Towards solving the 7-in-a-row game IEEE Conference on Games 2021 AI for Playing Games Author: Domonkos Czifra, Endre Csóka, Zsolt Zombori and Géza Makai Title: Towards solving the 7-in-a-row game IT University of Copenhagen 14:01 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Domonkos Czifra, Endre Csóka, Zsolt<br /> Zombori and Géza Makai<br /> Title: Towards solving the 7-in-a-row game</p><p><a href="http://video.itu.dk/photo/71784334/towards-solving-the-7-in-a-row-game"><img src="http://video.itu.dk/64968568/71784334/86af02aeeec9fcdf4d28624e4caa0820/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784360/configurable-agent-with-reward-as <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Pierre Le Pelletier de Woillemont, Rémi<br /> Labory and Vincent Corruble<br /> Title: Configurable Agent With Reward As Input:<br /> A Play-Style Continuum Generation</p><p><a href="http://video.itu.dk/photo/71784360/configurable-agent-with-reward-as"><img src="http://video.itu.dk/64968570/71784360/1bad363f736d6f6f4a6786ba36c42d3c/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784360 Wed, 03 Nov 2021 12:07:43 GMT Configurable Agent With Reward As Input: A Play-Style Continuum Generation IEEE Conference on Games 2021 AI for Playing Games Author: Pierre Le Pelletier de Woillemont, Rémi Labory and Vincent Corruble Title: Configurable Agent With Reward As Input: A Play-Style Continuum Generation IEEE Conference on Games 2021 AI for Playing Games Author: Pierre Le Pelletier de Woillemont, Rémi Labory and Vincent Corruble Title: Configurable Agent With Reward As Input: A Play-Style Continuum Generation IT University of Copenhagen 16:32 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Pierre Le Pelletier de Woillemont, Rémi<br /> Labory and Vincent Corruble<br /> Title: Configurable Agent With Reward As Input:<br /> A Play-Style Continuum Generation</p><p><a href="http://video.itu.dk/photo/71784360/configurable-agent-with-reward-as"><img src="http://video.itu.dk/64968570/71784360/1bad363f736d6f6f4a6786ba36c42d3c/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784365/video-games-as-a-testbed-for <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Sam Earle, Julian Togelius and Lisa Soros<br /> Title: Video Games as a Testbed for Open-Ended<br /> Phenomena</p><p><a href="http://video.itu.dk/photo/71784365/video-games-as-a-testbed-for"><img src="http://video.itu.dk/64968561/71784365/cd9619e8d23d39947a6dcb1977954f0c/standard/download-5-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784365 Wed, 03 Nov 2021 12:07:43 GMT Video Games as a Testbed for Open-Ended Phenomena IEEE Conference on Games 2021 AI for Playing Games Author: Sam Earle, Julian Togelius and Lisa Soros Title: Video Games as a Testbed for Open-Ended Phenomena IEEE Conference on Games 2021 AI for Playing Games Author: Sam Earle, Julian Togelius and Lisa Soros Title: Video Games as a Testbed for Open-Ended Phenomena IT University of Copenhagen 16:19 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Sam Earle, Julian Togelius and Lisa Soros<br /> Title: Video Games as a Testbed for Open-Ended<br /> Phenomena</p><p><a href="http://video.itu.dk/photo/71784365/video-games-as-a-testbed-for"><img src="http://video.itu.dk/64968561/71784365/cd9619e8d23d39947a6dcb1977954f0c/standard/download-5-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784370/generating-diverse-and-competitive <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Diego Perez Liebana, Cristina GuerreroRomero, Alexander Dockhorn, Linjie Xu<br /> and Jeurissen Dominik<br /> Title: Generating Diverse and Competitive PlayStyles for Strategy Games</p><p><a href="http://video.itu.dk/photo/71784370/generating-diverse-and-competitive"><img src="http://video.itu.dk/64968560/71784370/44ac235abfbe19da946dd0264b2a1229/standard/download-5-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784370 Wed, 03 Nov 2021 12:07:43 GMT Generating Diverse and Competitive PlayStyles for Strategy Games IEEE Conference on Games 2021 AI for Playing Games Author: Diego Perez Liebana, Cristina GuerreroRomero, Alexander Dockhorn, Linjie Xu and Jeurissen Dominik Title: Generating Diverse and Competitive PlayStyles for Strategy Games IEEE Conference on Games 2021 AI for Playing Games Author: Diego Perez Liebana, Cristina GuerreroRomero, Alexander Dockhorn, Linjie Xu and Jeurissen Dominik Title: Generating Diverse and Competitive PlayStyles for Strategy Games IT University of Copenhagen 22:18 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Diego Perez Liebana, Cristina GuerreroRomero, Alexander Dockhorn, Linjie Xu<br /> and Jeurissen Dominik<br /> Title: Generating Diverse and Competitive PlayStyles for Strategy Games</p><p><a href="http://video.itu.dk/photo/71784370/generating-diverse-and-competitive"><img src="http://video.itu.dk/64968560/71784370/44ac235abfbe19da946dd0264b2a1229/standard/download-5-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784374/monte-carlo-tree-search-with <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Michael Cook<br /> Title: Monte Carlo Tree Search With Reversibility<br /> Compression</p><p><a href="http://video.itu.dk/photo/71784374/monte-carlo-tree-search-with"><img src="http://video.itu.dk/64968559/71784374/81793d19b8f842326fdcac1be8f6c10f/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784374 Wed, 03 Nov 2021 12:07:43 GMT Monte Carlo Tree Search With Reversibility Compression IEEE Conference on Games 2021 AI for Playing Games Author: Michael Cook Title: Monte Carlo Tree Search With Reversibility Compression IEEE Conference on Games 2021 AI for Playing Games Author: Michael Cook Title: Monte Carlo Tree Search With Reversibility Compression IT University of Copenhagen 17:30 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Michael Cook<br /> Title: Monte Carlo Tree Search With Reversibility<br /> Compression</p><p><a href="http://video.itu.dk/photo/71784374/monte-carlo-tree-search-with"><img src="http://video.itu.dk/64968559/71784374/81793d19b8f842326fdcac1be8f6c10f/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784379/learning-on-a-budget-via-teacher <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Ercument Ilhan, Jeremy Gow and Diego<br /> Perez Liebana<br /> Title: Learning on a Budget via Teacher Imitation</p><p><a href="http://video.itu.dk/photo/71784379/learning-on-a-budget-via-teacher"><img src="http://video.itu.dk/64968558/71784379/7983b644763dbfe6fce113a4f1dd4a15/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784379 Wed, 03 Nov 2021 12:07:43 GMT Learning on a Budget via Teacher Imitation IEEE Conference on Games 2021 AI for Playing Games Author: Ercument Ilhan, Jeremy Gow and Diego Perez Liebana Title: Learning on a Budget via Teacher Imitation IEEE Conference on Games 2021 AI for Playing Games Author: Ercument Ilhan, Jeremy Gow and Diego Perez Liebana Title: Learning on a Budget via Teacher Imitation IT University of Copenhagen 20:00 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Ercument Ilhan, Jeremy Gow and Diego<br /> Perez Liebana<br /> Title: Learning on a Budget via Teacher Imitation</p><p><a href="http://video.itu.dk/photo/71784379/learning-on-a-budget-via-teacher"><img src="http://video.itu.dk/64968558/71784379/7983b644763dbfe6fce113a4f1dd4a15/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784380/playing-geister-by-estimating <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Keisuke Tomoda and Koji Hasebe<br /> Title: Playing Geister by Estimating Hidden<br /> Information with Deep Reinforcement<br /> Learning</p><p><a href="http://video.itu.dk/photo/71784380/playing-geister-by-estimating"><img src="http://video.itu.dk/64968559/71784380/3441977940127bdf893c5e014afbb584/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784380 Wed, 03 Nov 2021 12:07:43 GMT Playing Geister by Estimating Hidden Information with Deep Reinforcement... IEEE Conference on Games 2021 AI for Playing Games Author: Keisuke Tomoda and Koji Hasebe Title: Playing Geister by Estimating Hidden Information with Deep Reinforcement Learning IEEE Conference on Games 2021 AI for Playing Games Author: Keisuke Tomoda and Koji Hasebe Title: Playing Geister by Estimating Hidden Information with Deep Reinforcement Learning IT University of Copenhagen 08:38 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Keisuke Tomoda and Koji Hasebe<br /> Title: Playing Geister by Estimating Hidden<br /> Information with Deep Reinforcement<br /> Learning</p><p><a href="http://video.itu.dk/photo/71784380/playing-geister-by-estimating"><img src="http://video.itu.dk/64968559/71784380/3441977940127bdf893c5e014afbb584/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784383/gym-rts-toward-affordable-deep <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Shengyi Huang, Santiago Ontañón,<br /> Christopher Bamford and Lukasz Grela<br /> Title: Gym-μRTS: Toward Affordable Deep<br /> Reinforcement Learning Research in Realtime Strategy Games</p><p><a href="http://video.itu.dk/photo/71784383/gym-rts-toward-affordable-deep"><img src="http://video.itu.dk/64968580/71784383/6f023a21e8f311cf2141e174191f6a8d/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784383 Wed, 03 Nov 2021 12:07:43 GMT Gym-μRTS: Toward Affordable Deep Reinforcement Learning Research in Realtime... IEEE Conference on Games 2021 AI for Playing Games Author: Shengyi Huang, Santiago Ontañón, Christopher Bamford and Lukasz Grela Title: Gym-μRTS: Toward Affordable Deep Reinforcement Learning Research in Realtime Strategy Games IEEE Conference on Games 2021 AI for Playing Games Author: Shengyi Huang, Santiago Ontañón, Christopher Bamford and Lukasz Grela Title: Gym-μRTS: Toward Affordable Deep Reinforcement Learning Research in Realtime Strategy Games IT University of Copenhagen 17:44 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Shengyi Huang, Santiago Ontañón,<br /> Christopher Bamford and Lukasz Grela<br /> Title: Gym-μRTS: Toward Affordable Deep<br /> Reinforcement Learning Research in Realtime Strategy Games</p><p><a href="http://video.itu.dk/photo/71784383/gym-rts-toward-affordable-deep"><img src="http://video.itu.dk/64968580/71784383/6f023a21e8f311cf2141e174191f6a8d/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784384/searching-for-explainable-solutions <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Yngvi Bjornsson, Sigurdur Helgason and<br /> Adalsteinn Palsson<br /> Title: Searching for Explainable Solutions in Sudoku</p><p><a href="http://video.itu.dk/photo/71784384/searching-for-explainable-solutions"><img src="http://video.itu.dk/64968571/71784384/260a5d3ea03bdafd9f600d0f4a25fa21/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784384 Wed, 03 Nov 2021 12:07:43 GMT Searching for Explainable Solutions in Sudoku IEEE Conference on Games 2021 AI for Playing Games Author: Yngvi Bjornsson, Sigurdur Helgason and Adalsteinn Palsson Title: Searching for Explainable Solutions in Sudoku IEEE Conference on Games 2021 AI for Playing Games Author: Yngvi Bjornsson, Sigurdur Helgason and Adalsteinn Palsson Title: Searching for Explainable Solutions in Sudoku IT University of Copenhagen 13:35 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Yngvi Bjornsson, Sigurdur Helgason and<br /> Adalsteinn Palsson<br /> Title: Searching for Explainable Solutions in Sudoku</p><p><a href="http://video.itu.dk/photo/71784384/searching-for-explainable-solutions"><img src="http://video.itu.dk/64968571/71784384/260a5d3ea03bdafd9f600d0f4a25fa21/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784388/contextual-combinatorial-bandits-in <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Zuozhi Yang and Santiago Ontañón<br /> Title:Contextual Combinatorial Bandits in RealTime Strategy Game</p><p><a href="http://video.itu.dk/photo/71784388/contextual-combinatorial-bandits-in"><img src="http://video.itu.dk/64968566/71784388/816fb0def99be66a70067b9ddd7a41f1/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784388 Wed, 03 Nov 2021 12:07:43 GMT Contextual Combinatorial Bandits in RealTime Strategy Game IEEE Conference on Games 2021 AI for Playing Games Author: Zuozhi Yang and Santiago Ontañón Title:Contextual Combinatorial Bandits in RealTime Strategy Game IEEE Conference on Games 2021 AI for Playing Games Author: Zuozhi Yang and Santiago Ontañón Title:Contextual Combinatorial Bandits in RealTime Strategy Game IT University of Copenhagen 16:56 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Zuozhi Yang and Santiago Ontañón<br /> Title:Contextual Combinatorial Bandits in RealTime Strategy Game</p><p><a href="http://video.itu.dk/photo/71784388/contextual-combinatorial-bandits-in"><img src="http://video.itu.dk/64968566/71784388/816fb0def99be66a70067b9ddd7a41f1/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784392/real-time-model-predictive-control <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Zachariah Fuchs, Pavan Saranguhewa and<br /> Michael Ikuru<br /> Title: Real-Time Model Predictive Control for Shot<br /> Aiming in a Physical Pinball Machine</p><p><a href="http://video.itu.dk/photo/71784392/real-time-model-predictive-control"><img src="http://video.itu.dk/64968580/71784392/b284c8891dd0c7543fb84605b5161898/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784392 Wed, 03 Nov 2021 12:07:43 GMT Real-Time Model Predictive Control for Shot Aiming in a Physical Pinball... IEEE Conference on Games 2021 AI for Playing Games Author: Zachariah Fuchs, Pavan Saranguhewa and Michael Ikuru Title: Real-Time Model Predictive Control for Shot Aiming in a Physical Pinball Machine IEEE Conference on Games 2021 AI for Playing Games Author: Zachariah Fuchs, Pavan Saranguhewa and Michael Ikuru Title: Real-Time Model Predictive Control for Shot Aiming in a Physical Pinball Machine IT University of Copenhagen 20:13 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Zachariah Fuchs, Pavan Saranguhewa and<br /> Michael Ikuru<br /> Title: Real-Time Model Predictive Control for Shot<br /> Aiming in a Physical Pinball Machine</p><p><a href="http://video.itu.dk/photo/71784392/real-time-model-predictive-control"><img src="http://video.itu.dk/64968580/71784392/b284c8891dd0c7543fb84605b5161898/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784396/inventory-managament-with <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Keisuke Izumiya and Edgar Simo-Serra<br /> Title: Inventory Managament with Attention-based<br /> Meta Actions</p><p><a href="http://video.itu.dk/photo/71784396/inventory-managament-with"><img src="http://video.itu.dk/64968570/71784396/d0937cd7cb517f46230c7bc760fe913e/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784396 Wed, 03 Nov 2021 12:07:43 GMT Inventory Managament with Attention-based Meta Actions IEEE Conference on Games 2021 AI for Playing Games Author: Keisuke Izumiya and Edgar Simo-Serra Title: Inventory Managament with Attention-based Meta Actions IEEE Conference on Games 2021 AI for Playing Games Author: Keisuke Izumiya and Edgar Simo-Serra Title: Inventory Managament with Attention-based Meta Actions IT University of Copenhagen 16:09 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Keisuke Izumiya and Edgar Simo-Serra<br /> Title: Inventory Managament with Attention-based<br /> Meta Actions</p><p><a href="http://video.itu.dk/photo/71784396/inventory-managament-with"><img src="http://video.itu.dk/64968570/71784396/d0937cd7cb517f46230c7bc760fe913e/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/71784400/ai-solutions-for-drafting-in-magic <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Henry Ward, Daniel Brooks, Dan Troha,<br /> Bobby Mills and Arseny Khakhalin<br /> Title: AI solutions for drafting in Magic: the<br /> Gathering</p><p><a href="http://video.itu.dk/photo/71784400/ai-solutions-for-drafting-in-magic"><img src="http://video.itu.dk/64968560/71784400/6f38659060aa03c777737a93e0b58732/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71784400 Wed, 03 Nov 2021 12:07:43 GMT AI solutions for drafting in Magic: the Gathering IEEE Conference on Games 2021 AI for Playing Games Author: Henry Ward, Daniel Brooks, Dan Troha, Bobby Mills and Arseny Khakhalin Title: AI solutions for drafting in Magic: the Gathering IEEE Conference on Games 2021 AI for Playing Games Author: Henry Ward, Daniel Brooks, Dan Troha, Bobby Mills and Arseny Khakhalin Title: AI solutions for drafting in Magic: the Gathering IT University of Copenhagen 16:05 <p>IEEE Conference on Games 2021<br /> AI for Playing Games<br /> Author: Henry Ward, Daniel Brooks, Dan Troha,<br /> Bobby Mills and Arseny Khakhalin<br /> Title: AI solutions for drafting in Magic: the<br /> Gathering</p><p><a href="http://video.itu.dk/photo/71784400/ai-solutions-for-drafting-in-magic"><img src="http://video.itu.dk/64968560/71784400/6f38659060aa03c777737a93e0b58732/standard/download-7-thumbnail.jpg" width="75" height=""/></a></p> ai cog2021 http://video.itu.dk/photo/17994081/olle-haggstrom-technology-and-the <p>Olle Häggström is a Professor of mathematical statistics at Chalmers University of Gothenburg, Sweden, and the member of the Royal Swedish Academy of Science. He is also a leading Swedish public intellectual and prolific debater in science, pseudoscience, technology, and education. We talk to Olle about the potential dangers associated with various emerging technologies—how do we start thinking about the catastrophic risks that may be associated with scientific advances that we have not completed?<br> <p>Our focus at Cast IT are potential advances in Artificial Intelligence towards general “Superintelligence,” sometimes called the intelligence explosion, the technological Singularity, or the robot apocalypse. Olle’s 2016 book about these issues is called “Here Be Dragons: Science, Technology and the Future of Humanity,” published by Oxford University Press.</p><p>Recorded on 8 May 2017.</p></p><p><a href="http://video.itu.dk/photo/17994081/olle-haggstrom-technology-and-the"><img src="http://video.itu.dk/16107559/17994081/33745eaa979ebb0c91f6bb5ada8351af/standard/download-2-thumbnail.jpg" width="600" height="338"/></a></p> http://video.itu.dk/photo/17994081 Thu, 29 Jun 2017 13:04:30 GMT Olle Häggström: Technology and the Future of Humanity Olle Häggström is a Professor of mathematical statistics at Chalmers University of Gothenburg, Sweden, and the member of the Royal Swedish Academy of Science. He is also a leading Swedish public intellectual and prolific debater in science, pseudoscience, technology, and education. We talk to Olle about the potential dangers associated with various emerging technologies—how do we start thinking about the catastrophic risks that may be associated with scientific advances that we have not completed? Our focus at Cast IT are potential advances in Artificial Intelligence towards general “Superintelligence,” sometimes called the intelligence explosion, the technological Singularity, or the robot apocalypse. Olle’s 2016 book about these issues is called “Here Be Dragons: Science, Technology and the Future of Humanity,” published by Oxford University Press.Recorded on 8 May 2017. Olle Häggström is a Professor of mathematical statistics at Chalmers University of Gothenburg, Sweden, and the member of the Royal Swedish Academy of Science. He is also a leading Swedish public intellectual and prolific debater in science,... IT University of Copenhagen 01:17:05 5 <p>Olle Häggström is a Professor of mathematical statistics at Chalmers University of Gothenburg, Sweden, and the member of the Royal Swedish Academy of Science. He is also a leading Swedish public intellectual and prolific debater in science, pseudoscience, technology, and education. We talk to Olle about the potential dangers associated with various emerging technologies—how do we start thinking about the catastrophic risks that may be associated with scientific advances that we have not completed?<br> <p>Our focus at Cast IT are potential advances in Artificial Intelligence towards general “Superintelligence,” sometimes called the intelligence explosion, the technological Singularity, or the robot apocalypse. Olle’s 2016 book about these issues is called “Here Be Dragons: Science, Technology and the Future of Humanity,” published by Oxford University Press.</p><p>Recorded on 8 May 2017.</p></p><p><a href="http://video.itu.dk/photo/17994081/olle-haggstrom-technology-and-the"><img src="http://video.itu.dk/16107559/17994081/33745eaa979ebb0c91f6bb5ada8351af/standard/download-2-thumbnail.jpg" width="600" height="338"/></a></p> ai cast it emerging technologies olle häggström superintelligence