Productive State-Space Exploration for Multi-turn RL in LLM Agents.

arXiv:2610.25957v1 Announce Type: new Abstract: Reinforcement Learning (RL) for Large Language Model (LLM) agents in multi-turn, long-horizon environments remains challenging due to inefficient action selection and repetitive behavioral patterns. In particular