Agentic Reinforcement Learning with Self-Distilled Reward Shaping

Ranxu Zhang, Guinan Chen, Chenshaodong +5

Agentic reinforcement learning enables LLM agents to learn through interaction, but sparse trajectory-level rewards reveal success without identifying which intermediate decisions…