arxiv
PublishedOctober 23, 2026 at 4:00 AM
MOER: Mix-Policy Optimization under Expert Prefix Guidance with Selective Rollback
Publisher summary· verbatim
arXiv:2610.30873v1 Announce Type: new 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-trace guidance that suppresses self-explora
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Originally published on arxiv ↗