rePIRL: Learn PRM with Inverse RL for LLM Reasoning

Xian Wu, Kaijie Zhu, Ying Zhang +2

Process rewards have been widely used in deep reinforcement learning to improve training efficiency, reduce variance, and prevent reward hacking. In LLM reasoning, existing works a…