GDEPO: Group Dual-dynamic and Equal-right Advantage Policy Optimization for Sample-Efficient Reinforcement Learning
cs.AI
Submitted: 2026-01-11
Updated: 2026-10-12
Code: https://github.com/huggingface/open-r1
Terminology
Sources
- Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
- Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
- Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
- DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
- Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning
- DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
- Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models
- Solving Formal Math Problems by Decomposition and Iterative Reflection
- DeepSeek-V3 Technical Report
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- Proximal Policy Optimization Algorithms
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
- GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models
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