Action-Value Calibration via Continuation Sharing for Long-Horizon Agentic Reinforcement Learning
Shares action continuations to calibrate action values, giving fairer credit in long-horizon agent RL.
Explainer · on the wire
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The claim, the mechanism, and the figures land here once generated.
Source · arXiv wire
arxiv.org/abs/2610.37195cs.LG · cs.AI