Research
Hugging Face paper examines when multi-turn reinforcement learning helps LLM agents
The paper finds RL gains for agents depend on turn budgets and concentrate in error recovery and long-horizon resilience. It introduces BudgetMix RL, which varies interaction budgets during training, and reports robust performance across execution settings.
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Hugging Face PapersResearchLead
What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents?