arXiv AI
SearchMaster: Grounded and Regulated Self-Play for Search Agents
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Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents
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Self-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember
arXiv:2607. 29468v1 Announce Type: new Abstract: Self-play agents can generate training problems without questions from target benchmarks, but their curricula lack persistent state: failures affect gradients yet do not explicitly shape future practice.