implementation detail · filed under post-training
Autonomous Student Rollouts
Student-generated rollouts retained in suitable domains as part of the standard MOPD setup.
Also called Standard MOPD.
- source
- 1
- models
- 2
- lab adopt it
- 1
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
used 2
Documented in
Evidence
2 spans quoted from the sources, strongest treatment first.
Standard MOPD uses RL teachers to supervise full student rollouts.
usedunclearin MiMo-V2.6Xiaomi
we retain autonomous student rollouts in domains with suitable mixRL teachers
usedunclearin MiMo-V2.6Xiaomi
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 DistillationLarge-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 DistillationOff-Policy DistillationPer-Token On-Policy Distillation RewardSFT–RL–On-Policy Distillation PipelineTeacher-Trajectory and SFT-History Reuse