OpenClaw-RL: Train any agent simply by talking
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
Awesome List for On-Policy Distillation
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
🔥 On-Policy Self-Distillation in Diffusion Models
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
🔥 DanceOPD: On-Policy Generative Field Distillation
verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.
A user-friendly & efficient knowledge distillation framework for LLMs, supporting off-policy, on-policy (OPD), cross-tokenizer, multimodal, and on-policy self-distillation.
[ICML 2026] When Drafts Evolve: Speculative Decoding Meets Online Learning
Source code of paper "RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation"
Weak-to-Strong Generalization via Direct On-Policy Distillation
Learning Spatial Reasoning through Interaction with the Observable Physical World
Official implementation of On-Policy Delta Distillation (OPD2)
Tiny-R2: A hybrid architecture integrating SWA, CSA, HCA, mHC, and DSMoE under the DeepSeek V4 design paradigm, enabling single-GPU OPD post-training.
Official code for "Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate" (arXiv:2605.01347).
Unified reproductions, benchmarking & evaluation for perception-aware RLVR and OPD in VLMs. 18 methods · 30+ benchmarks · Official code of CGPO (ACM MM 2026 Oral).
Official implementation of iSDFT: information-proximal on-policy self-distillation for continual learning in LLMs. Training code, checkpoints, and evaluation results.
A curated paper list on On-Policy Distillation (OPD) & On-Policy Self-Distillation (OPSD) for LLMs — student rollouts + teacher feedback, covering white-box/black-box methods, OPD-RL hybrids, agentic & multimodal applications, and industrial multi-teacher recipes.
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