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

A new training method for agentic reinforcement learning that uses self-retiring on-policy distillation to improve efficiency and stability.

Auto-scored: A technical training method that may incrementally improve agent capabilities, but no direct risk or mitigation is described.