Agentic Reinforcement Learning with Observation-Calibrated Self-Distillation

Yi Yang, Cong Qin, Xiaodan Liu +8

Large language model agents are commonly trained through reinforcement learning with sparse trajectory-level rewards, which offer limited guidance on how strongly individual tokens…