Interpolated Policy Distillation: A Controllable Continuum Between Off-Policy and On-Policy Distillation
cs.LG, cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Qwen3-VL Technical Report
- NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
- MInTRL: Off-policy Intervention can boost On-policy RL
- Training Verifiers to Solve Math Word Problems
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- OpenThoughts: Data Recipes for Reasoning Models
- OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
- Skywork Open Reasoner 1 Technical Report
- CA-OPD: Confidence-Aware On-Policy Distillation for Structured Visual Prediction
- Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
- Let's Verify Step by Step
- Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
- Escaping the KL Agreement Trap in On-Policy Distillation
- Qwen3 Technical Report
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks