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Iterative GRPO: Batch-Online Multi-Turn RL via Single-Turn RLHF

Jiang, Daniel R. et al.
arXiv (All) · Papers
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machine-learning
Practical LLM agents often operate over multi-turn conversations where success is determined only after the full interaction ends. Most multi-turn RL methods train via on-policy rollouts, but unlike in single-turn RLHF, the policy cannot produce a trajectory alone, since an external environment must
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