Player-1 trains game agents from synthetic experience

The Player-1 paper proposes learning computer-use game agents from synthetic experience rather than large-scale human demonstrations, targeting general digital control.

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Coverage: 1 sources, in order

1. 14 Oct 00:00 HF Papers: Player-1: Learning to Play from Synthetic Experience

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