CAER: Causal Action Effect Reweighting for World Model Training
Causal Action Effect Reweighting (CAER), a general training paradigm that redistributes supervision toward the tokens whose predicted future is causally affected by the action, is introduced.
Jian-Jie Fang, Xvyuan Liu, Zi-You Wang et al.
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