← The frontier
Technology & AIJul 16, 2026

On-Policy Delta Distillation

On-policy distillation is an alternative post-training method in reinforcement learning that alleviates the constraints imposed by reward models by providing token-level supervision from a teacher model.

On-policy distillation is an alternative post-training method in reinforcement learning that alleviates the constraints imposed by reward models by providing token-level supervision from a teacher model. Although on-policy distillation has been studied and applied across various…

The frontier is open to all. Sign in to learn this from first principles and save it to your knowledge base.