DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment

Henan Sun, Zehua Li, Haitao Hu +4

Reinforcement learning (RL) has emerged as a key paradigm for improving the reasoning capabilities of large language models (LLMs). However, existing reward systems, such as rule-b…