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Learning from Demonstration to be a Good Team Member in a Role-Playing Game
Conferences & Talks



We present an approach that uses learning from demonstration in a computer role-playing game. We describe a behavior engine that uses case-based reasoning. The behavior engine accepts observation traces of human playing decisions and produces a sequence of actions which can then be carried out by an artificial agent within the gaming environment. Our work focuses on team-based role playing games, where the agents produced by the behavior engine act as team members within a mixed human-agent team. We present the results of a study we conducted, where we assess both the quantitative and qualitative performance difference between human-only teams compared with hybrid human-agent teams.


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2016 AIChE Annual Meeting: Energy and Transport Processes
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14 November 2016 - 15 November 2016 | San Francisco, CA
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Printed Electronics USA 2016 - Visit PARC’s Booth #T20
Ross Bringans, Markus Larsson, Janos Veres
16 November 2016 - 17 November 2016 | Santa Clara, CA
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