PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies
Every valid trajectory can teach what physically happened, while the actor is deployed only under the condition associated with relatively better actions, in \method, a direct world-action policy that combines outcome-agnostic predictive learning with outcome-aware policy improvement.
Bo-Tong Zhao, Fangjie Yu, Tim Yu et al.
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