Does Learning to Predict the World Help Agents Act? Auditing World-Model Post-Training
This work replaces true next-observation targets with in-distribution mismatched observations and introduces a setting that replaces prediction-based rewards with independent random signals, which expands task coverage even when the reward carries no environment information.
Xin-Yu Che, Hang Yan, Yan-Chen Liu et al.
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