RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning

Yan Yu, Zhengxi Lu, Yizhou Liu +8

Multi-turn agents trained with reinforcement learning (RL) receive a single scalar reward per trajectory, which motivates self on-policy distillation (OPD) to supply dense token-le…