Inverse reinforcement learning for video games

Deep reinforcement learning achieves superhuman performance in a range of video game environments, but requires that a designer manually specify a reward function. It is often easier to provide demonstrations of a target behavior than to design a reward function describing that behavior. Inverse rei...

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Bibliographische Detailangaben
Hauptverfasser: Tucker, Aaron, Gleave, Adam, Russell, Stuart
Format: Artikel
Sprache:eng
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