Author

Hesong Wang

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Preprint Aug 2026

Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models

This work proposes Reinforcement Learning with Human-Engine Verification (RLHEV), a post-training paradigm that combines dense engine signals with implicit human acceptance feedback from the development process to support RL post-training.

P. Zhou, Hesong Wang, Zhengfeiyang Zhang et al. · 1 citation