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        <itunes:subtitle>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...</itunes:subtitle>
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            <title>CamerAI: Chase Camera in a Dense Environment using a Proximal Policy...</title>
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            <description>&lt;p&gt;Author: James Rucks and Nikolaos Katzakis.&lt;br&gt;
Title: CamerAI: Chase Camera in a Dense Environment using a Proximal Policy Optimization-trained Neural Network.&lt;br&gt;
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            <itunes:summary>Author: James Rucks and Nikolaos Katzakis.
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            <itunes:subtitle>Author: James Rucks and Nikolaos Katzakis.
Title: CamerAI: Chase Camera in a Dense Environment using a Proximal Policy Optimization-trained Neural Network.
AI for Novel Interaction Track - Long Paper (20 min) - IEEE Conference on Games 2021</itunes:subtitle>
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            <media:description type="html">&lt;p&gt;Author: James Rucks and Nikolaos Katzakis.&lt;br&gt;
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            <title>Predicting Player Churn with Echo State Networks</title>
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            <description>&lt;p&gt;Author: Rafet Sifa.&lt;br /&gt;
Title: Predicting Player Churn with Echo State Networks.&lt;br /&gt;
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021&lt;/p&gt;&lt;p&gt;&lt;a href="http://video.itu.dk/photo/71684584/predicting-player-churn-with-echo"&gt;&lt;img src="http://video.itu.dk/64968578/71684584/4f42cf15958f8113f444899525b951b2/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 03 Nov 2021 15:23:57 GMT</pubDate>
            <media:title>Predicting Player Churn with Echo State Networks</media:title>
            <itunes:summary>Author: Rafet Sifa.
Title: Predicting Player Churn with Echo State Networks.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:summary>
            <itunes:subtitle>Author: Rafet Sifa.
Title: Predicting Player Churn with Echo State Networks.
Analytics and Player Psychology Track - Short Paper (10 min) - IEEE Conference on Games 2021</itunes:subtitle>
            <itunes:author>IT University of Copenhagen</itunes:author>
            <itunes:duration>09:50</itunes:duration>
            <media:description type="html">&lt;p&gt;Author: Rafet Sifa.&lt;br /&gt;
Title: Predicting Player Churn with Echo State Networks.&lt;br /&gt;
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