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AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fails to credit the few pivotal decisions that determine outcomes in long-horizon, multi-turn agentic task
推荐理由AgentOPSD: Recursive Self-Distillation：Reinforcement learning (RL) with verifiable rewards constructs trajectory-level。