Player-1: RL turns VLM agents into GTA V players with zero game-specific training
yshan2u · x · 2026-10-15
yshan2u introduced Player-1: training VLMs and computer-use agents to play complex games via reinforcement learning.
- Trained in 16 synthetic environments
- Transfers to unseen games — including GTA V — with no game-specific training
- Demonstrates generalization from generic computer-use capabilities to complex gameplay
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