Cites: Reinforcement Learning via Self-Distillation

20 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.

• Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
  arxiv:1801.01290 · evidence: title
• Self-Refine: Iterative Refinement with Self-Feedback
  arxiv:2303.17651 · evidence: title
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  arxiv:2402.03300 · evidence: id
• Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
  arxiv:2402.13669 · evidence: title
• s1: Simple test-time scaling
  arxiv:2501.19393 · evidence: title
• Competitive Programming with Large Reasoning Models
  arxiv:2502.06807 · evidence: id
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
  arxiv:2503.14476 · evidence: title
• Understanding R1-Zero-Like Training: A Critical Perspective
  arxiv:2503.20783 · evidence: title
• Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
  arxiv:2504.13837 · evidence: title
• TTRL: Test-Time Reinforcement Learning
  arxiv:2504.16084 · evidence: title
• Reinforcing General Reasoning without Verifiers
  arxiv:2505.21493 · evidence: title
• Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
  arxiv:2506.01939 · evidence: title
• MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
  arxiv:2506.13585 · evidence: id
• Group Sequence Policy Optimization
  arxiv:2507.18071 · evidence: id
• The Art of Scaling Reinforcement Learning Compute for LLMs
  arxiv:2510.13786 · evidence: title
• Olmo 3
  arxiv:2512.13961 · evidence: id
• Learning to Discover at Test Time
  arxiv:2601.16175 · evidence: id
• Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
  arxiv:2601.18734 · evidence: id
• Self-Distillation Enables Continual Learning
  arxiv:2601.19897 · evidence: id
• Reinforcement Learning from Human Feedback
  url:rlhfbook.com · evidence: title