specific method · filed under post-training
Off-Policy Distillation
Distillation characterized as off-policy, contrasted in the evidence with on-policy distillation.
- source
- 1
- model
- 1
- labs adopt it
- 0
- strongest
- not used
How sources treat it
One count per evidence span, weakest treatment to strongest.
not used 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
yielding stronger gains than purely off-policy distillation
not usedoptimizationin Nemotron 3 UltraNVIDIA
Filed alongside
Other methods under post-training :: policy distillation.
Multi-Teacher On-Policy DistillationOn-Policy DistillationPrefix-Conditioned On-Policy DistillationMulti-Prefix Multi-Teacher On-Policy DistillationSpecialist DistillationAutonomous Student RolloutsLarge-Scale On-Policy DistillationOn-Policy Cross-Stage DistillationAsynchronous Multi-Teacher On-Policy DistillationBehavior–Proximal Policy DecouplingDistillation Fine-Tuning on MiMo-Generated DataDistillation for Post-Training Data GenerationIcePop Token-Level Loss MaskingModel DistillationMulti-Objective Policy DistillationPer-Token On-Policy Distillation RewardSFT–RL–On-Policy Distillation PipelineTeacher-Trajectory and SFT-History Reuse