Retry-Aware policy optimization for efficient exploration in LLM reasoning
Read the original at arxiv.org→arXiv:2610.28770v1 Announce Type: new Abstract: RLVR improves language-model reasoning, but commonly relies on independent stochastic rollouts for exploration, which can repeatedly sample similar failed strategies....
Original headline: "ReAPO: Retry-Aware Policy Optimization for Efficient Exploration in LLM Reasoning"
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- Oct 22, 04:00 UTC arXiv cs.LG lead source ReAPO: Retry-Aware Policy Optimization for Efficient Exploration in LLM Reasoning