Group Relative Policy Optimization improves credit assignment for decomposed subtasks in language-model agents
Read the original at arxiv.org→arXiv:2609.27035v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) and related policy-gradient methods for training language model agents collapse an entire multi-turn rollout into a single...
Original headline: "Reinforcement Learning with Decomposed Subtasks"
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- Sep 24, 04:00 UTC arXiv cs.AI lead source Reinforcement Learning with Decomposed Subtasks