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Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation

667 upvotes · 15 OCT 2026 · Bingxi Hou, Guochao Jiang, Guofeng Quan et al.

This paper develops a method to transfer policy shifts from a reinforcement learning (RL) teacher to a student model, using an intermediate teacher checkpoint to compare early and late policy shifts and gate the endpoint shift based on their agreement. Practitioners in RL and reinforcement learning may care about this paper because it proposes a more effective way to transfer policy shifts, which is crucial for improving student performance in various domains.

reinforcement learningpolicy distillationon-policy distillationpolicy transfergated distillation