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/71689024/towards-a-multi-agent-non-player <p>Author: Stela Makri and Panayiotis Charalambous.<br /> Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach.<br /> AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71689024/towards-a-multi-agent-non-player"><img src="http://video.itu.dk/64968580/71689024/f5c083d600f79e154116b0cec8cfcd3c/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71689024 Wed, 03 Nov 2021 15:25:35 GMT Towards a multi-agent non-player character road network: a Reinforcement... Author: Stela Makri and Panayiotis Charalambous. Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach. AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021 Author: Stela Makri and Panayiotis Charalambous. Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach. AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021 IT University of Copenhagen 07:02 <p>Author: Stela Makri and Panayiotis Charalambous.<br /> Title: Towards a multi-agent non-player character road network: a Reinforcement Learning approach.<br /> AI for Novel Interaction Track - Short Paper (10 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71689024/towards-a-multi-agent-non-player"><img src="http://video.itu.dk/64968580/71689024/f5c083d600f79e154116b0cec8cfcd3c/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 charalambous cog cog2021 learning makri reinforcement http://video.itu.dk/photo/71765632/procedural-content-generation <p>Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat.<br /> Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning.<br /> Plenary - Vision - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71765632/procedural-content-generation"><img src="http://video.itu.dk/64968570/71765632/151693ac54e83fc330acc7a3134183f7/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71765632 Wed, 03 Nov 2021 15:25:35 GMT Procedural Content Generation: Better Benchmarks for Transfer Reinforcement... Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat. Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. Plenary - Vision - IEEE Conference on Games 2021 Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat. Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. Plenary - Vision - IEEE Conference on Games 2021 IT University of Copenhagen 18:46 <p>Author: Mathias Müller-Brockhausen, Mike Preuss and Aske Plaat.<br /> Title: Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning.<br /> Plenary - Vision - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71765632/procedural-content-generation"><img src="http://video.itu.dk/64968570/71765632/151693ac54e83fc330acc7a3134183f7/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 benchmark cog cog2021 learning müller plaat preuss procedural reinforcement http://video.itu.dk/photo/71684715/improving-playtesting-coverage-via <p>Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen.<br /> Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents.<br /> Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684715/improving-playtesting-coverage-via"><img src="http://video.itu.dk/64968569/71684715/05dc0902d09b4c2d0553990a7db6913e/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71684715 Wed, 03 Nov 2021 15:23:57 GMT Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning... Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen. Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021 Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen. Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on... IT University of Copenhagen 19:09 <p>Author: Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar and Linus Gisslen.<br /> Title: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents.<br /> Analytics and Player Psychology Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71684715/improving-playtesting-coverage-via"><img src="http://video.itu.dk/64968569/71684715/05dc0902d09b4c2d0553990a7db6913e/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> 2021 bergdahl cog cog2021 gisslen gordillo learning playtest reinforcement tollmar http://video.itu.dk/photo/71683740/experience-driven-pcg-via <p>Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis.<br /> Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71683740/experience-driven-pcg-via"><img src="http://video.itu.dk/64968580/71683740/bc7af32d5ba7fc85270d761f353a0b28/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/71683740 Wed, 03 Nov 2021 15:22:50 GMT Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis. Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021 Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis. Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021 IT University of Copenhagen 19:10 <p>Author: Tianye Shu, Jialin Liu and Georgios N. Yannakakis.<br /> Title: Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.<br /> Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021</p><p><a href="http://video.itu.dk/photo/71683740/experience-driven-pcg-via"><img src="http://video.itu.dk/64968580/71683740/bc7af32d5ba7fc85270d761f353a0b28/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> 2021 cog cog2021 learning liu pcg reinforcement shu yannakakis