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

arXiv:2609.27572v1 Announce Type: cross Abstract: 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-based and reward-model-based, o