Behavior Knowledge Merge in Reinforced Agentic Models

Xiangchi Yuan, Dachuan Shi, Chunhui Zhang +4

Reinforcement learning (RL) is central to post-training, particularly for agentic models that require specialized reasoning behaviors. In this setting, model merging offers a pract…