SCOPE: Selective Critical-Step On-Policy Self-Distillation for Agentic Reinforcement Learning.

arXiv:2610.38391v1 Announce Type: new Abstract: Outcome-based reinforcement learning provides coarse supervision for long-horizon LLM agents: failed trajectories may contain correct steps, while successful trajectories can contain errors. Trajectory-level skil