Expected Reasoning-Step Return Unifies On-Policy Learning from Rewards and Teachers
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- Reward-Gated On-Policy Distillation
- MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
- SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization
- Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement
- Rethinking On-Policy Distillation of Large Language Models II: One Training Example
- Soft Adaptive Policy Optimization
- Gemma 4 Technical Report
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- On-Policy RL with Optimal Reward Baseline
- On-Policy Delta Distillation
- Distilling the Knowledge in a Neural Network
- REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
- Reinforcement Learning via Self-Distillation
- Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance
- Entropy-Aware On-Policy Distillation of Language Models
- VinePPO: Refining Credit Assignment in RL Training of LLMs
- DistiLLM: Towards Streamlined Distillation for Large Language Models
- Scaling Reasoning Efficiently via Relaxed On-Policy Distillation
- Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR
- Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection