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GDC 2022 Session Viewer

View, browse and sort the ever-growing list of sessions by pass type, topic, format and viewing experience. Use the experience filter to view sessions and roundtables that will be available on the virtual GDC event platform. Virtual sessions will be available to watch on-demand through April 1st, 2022 at 5pm PT. All days/times are displayed in Pacific Time.

Use the Viewing Experience filter to see which sessions will be available on-site, on the virtual platform, or both:

  • In-Person: offered on-site, not available within the virtual platform. Check the session’s listing to see if it will be recorded for GDC Vault after the conference.
  • Virtual: offered in the virtual platform at its scheduled time.
  • In-Person/Virtual: offered onsite and the recording will be available to watch-on-demand within 36 hours of the session start time on the virtual platform until April 1st at 5pm PT
  • In-Person/Virtual Livestream: offered on-site and will be livestreamed to watch on the virtual platform at its scheduled time. The recording of the video will be available to watch-on-demand within 36 hours of the session start time on the virtual platform until April 1st at 5pm PT.

All registered attendees will be able to build their personal schedule in the virtual GDC event platform and mobile app. Download the Informa Tech Events app to gain access to the Game Developers Conference 2022 virtually. Login with the email address you used to register.

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Sam Devlin, Principal Researcher, Microsoft

Dr Sam Devlin is a principal researcher in the deep reinforcement learning for games team at Microsoft Research Cambridge where his research focuses on machine learning, artificial intelligence, digital games and player experience. Previously he has held research roles in human factors at BAE Systems, game data analytics at York Centre for Complex Systems Analysis and game AI at the Digital Creativity Labs. In 2013, Sam completed a PhD on multi-agent reinforcement learning at the University of York and visited Oregon State University to further broaden his studies of multi-agent learning.

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