Learning after Execution with Action-Specific Credit
Learning after execution strengthens the shared policy under single-call inference and also produces a post-execution corrective capability, suggesting that executable tasks contain useful learning structure beyond a terminal reward.
Yu-Feng Tian, Jia-Hao Tang, Ming-Hao Wu
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