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Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn Search Agents

Single source1 source8 Oct 2026

arXiv:2607.06223v2 Announce Type: replace Abstract: Reinforcement learning (RL) improves large language model (LLM) agents on long-horizon search tasks that require multiple intermediate decisions before a final outcome.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2607.06223

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