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News/APPO: Agentic Procedural Policy Optimization
arxiv
PublishedJune 11, 2026 at 4:00 AM
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APPO: Agentic Procedural Policy Optimization

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arXiv:2606.12384v1 Announce Type: cross Abstract: Recent advances in agentic Reinforcement Learning (RL) have substantially improved the multi-turn tool-use capabilities of large language model agents. However, most existing methods assign credit over coarse heuristic units, such as tool-call bounda

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