Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning

Liuji Chen, Dianxing Tang, Xing Shi +4

Agentic reinforcement learning can induce tool abuse, where models overuse external tools even for queries solvable by internal reasoning. Existing approaches mitigate this issue w…