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Position: Profiling Game Worlds by Transition Complexity

Via ArXiv cs.AI
Thursday, Aug 20, 2026 ยท 4:00AM
Summary

arXiv:2608.18079v1 Announce Type: new Abstract: Game world modeling (GWM) and reinforcement learning (RL) are often confounded because research papers rarely quantify how difficult the underlying transition prediction problem is at the declared interface (pixels/tokens/latents with finite history).

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