MOER: Mix-Policy Optimization under Expert Prefix Guidance with Selective Rollback.

arXiv:2610.30873v1 Announce Type: cross Abstract: Mix-policy optimization incorporates off-policy expert data into the reinforcement learning (RL) loop to transcend the capability boundary of on-policy RL. However, existing methods either provide static full-t