Rollout-Time Intervention: Unlocking Agentic Reinforcement Learning Beyond Policy Limits.

arXiv:2610.13438v2 Announce Type: replace Abstract: Reinforcement learning (RL) has emerged as a key paradigm for improving large language model (LLM) agents, enabling stronger reasoning, planning, and tool-use in interactive environments. However, existing ag