Agentic Game Dev as Verifiable Trajectory Engine for Scaling World Models
NationalUniversityofSingapore · hf · 2026-08-28
This research proposes using agentic game development as a verifiable trajectory data engine for scaling world models. Game engines provide executable verification and long-horizon trajectories for reinforcement learning post-training of spatial world models.
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