Game-Guided Skill Discovery through Self-Play for Playable Agent Control
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Aus dem Abstract
We present Game-Guided Skill Discovery (GGSD), a framework that uses self-play in games to discover motor skills that are directly playable by humans. Playable skills provide a compact abstraction for controlling embodied agents through a small set of learned behaviors rather than low-level actions.
Aus dem Abstract. Unsere Zusammenfassung folgt.