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video-game-agents

topic1 events
papersSEP 11 04:00 UTC

GameWAM Paper Proposes World Action Model for Video Game Agents

A new arXiv paper introduces GameWAM, a world action model intended for agents that play video games featuring first-person viewpoints, fast visual changes, persistent world state, and varied native controls. The authors argue that current game agents translate visual and task context straight into actions without modeling world dynamics explicitly, and their approach adds that missing component. The submission is a replacement cross-list entry on arXiv cs.LG.

agents/world-models/video-games/research