Player-1: Learning to Play from Synthetic Experience

Player-1 is a post-training framework for learning game control through synthetic experience. The framework fine-tunes computer-use models on 6,044 curated gameplay trajectories and utilizes Player-1-Gym, a collection of sixteen synthetic 2D and 3D environments, to support multi-environment reinforcement learning.