TsinghuaC3I/Awesome-RL-for-LRMs

We welcome everyone to open an issue for any related work we haven’t discussed, and we’ll try to address it in the next release!

🎉 News

• [2025-11-05] 🔥 Excited to release our paper list about Memory for Agents, covering breakthroughs in Context Management and Learning from Experience powering self-improving AI agents. Check it out: GitHub
• [2025-10] 🎉 Honored to give talks at BAAI, Qingke Talk and Tencent Wiztalk! Here are the slides.
• [2025-09-18] 🎉 We update the full list of papers in the category structure of the survey!
• [2025-09-12] 🎉 Our survey was ranked #1 Paper of the Day on 🤗 Hugging Face Daily Papers!
• [2025-09-11] 🔥 Excited to release our RL for LRMs Survey! We’ll be updating the full list of papers in with a new category structure soon. Check it out: Paper.
• [2025-08-15] 🔥 Introducing SSRL: an investigation for Agentic Search RL without reliance on external search engine. Check it out: GitHub and Paper.
• [2025-05-27] 🔥 Introducing MARTI: A Framework for LLM-based Multi-Agent Reinforced Training and Inference. Check it out: Github.
• [2025-04-23] 🔥 Introducing TTRL: an open-source solution for online RL on data without ground-truth labels, especially test data. Check it out: Github and Paper.
• [2025-03-20] 🔥 We are excited to introduce collection of papers and projects on RL for reasoning models!

🎈 Citation

If you find this survey helpful, please cite our work:

@article{zhang2025survey,
  title={A survey of reinforcement learning for large reasoning models},
  author={Zhang, Kaiyan and Zuo, Yuxin and He, Bingxiang and Sun, Youbang and Liu, Runze and Jiang, Che and Fan, Yuchen and Tian, Kai and Jia, Guoli and Li, Pengfei and others},
  journal={arXiv preprint arXiv:2509.08827},
  year={2025}
}

📖 Contents

• A Survey of Reinforcement Learning for Large Reasoning Models
• 🎉 News
• 🎈 Citation
• 📖 Contents
• 🗺️ Overview
• 📄 Paper List
  • Frontier Models
  • Reward Design
    • Generative Rewards
    • Dense Rewards
    • Unsupervised Rewards
    • Rewards Shaping
  • Policy Optimization
    • Policy Gradient Objective
    • Critic-based Algorithms
    • Critic-Free Algorithms
    • Off-policy Optimization
    • Off-policy Optimization (Exp replay)
    • Regularization Objectives
  • Sampling Strategy
    • Dynamic and Structured Sampling
    • Sampling Hyper-Parameters
  • Training Resource
    • Static Corpus (Code)
    • Static Corpus (STEM)
    • Static Corpus (Math)
    • Static Corpus (Agent)
    • Static Corpus (Mix)
    • Dynamic Environment (Rule-based)
    • Dynamic Environment (Code-based)
    • Dynamic Environment (Game-based)
    • Dynamic Environment (Model-based)
    • Dynamic Environment (Ensemble-based)
    • RL Infrastructure (Primary)
    • RL Infrastructure (Secondary)
  • Applications
    • Coding Agent
    • Search Agent
    • Browser-Use Agent
    • DeepResearch Agent
    • GUI&Computer Agent
    • Recommendation Agent
    • Agent (Others)
    • Code Generation
    • Software Engineering
    • Multimodal Understanding
    • Multimodal Generation
    • Robotics Tasks
    • Multi-Agent Systems
    • Scientific Tasks
• 🌟 Acknowledgment
• ✨ Star History

🗺️ Overview

Our survey provides a comprehensive examination of Reinforcement Learning for Large Reasoning Models.

We organize the survey into five main sections:

1. Foundational Components: Reward design, policy optimization, and sampling strategies
2. Foundational Problems: Key debates and challenges in RL for LRMs
3. Training Resources: Static corpora, dynamic environments, and infrastructure
4. Applications: Real-world implementations across diverse domains
5. Future Directions: Emerging research opportunities and challenges

📄 Paper List

Frontier Models

Date	Name	Title	Paper	Github
2025-08	Intern-S1	Intern-S1: A Scientific Multimodal Foundation Model
2025-08	GLM-4.5	GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
2025-08	gpt-oss	gpt-oss-120b & gpt-oss-20b Model Card
2025-08	InternVL3.5	InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
2025-07	Kimi K2	Kimi K2: Open Agentic Intelligence
2025-07	Step 3	Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
2025-07	GLM-4.1V-Thinking	GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
2025-07	Skywork-R1V3	Skywork-R1V3 Technical Report
2025-07	GLM-4.5V	GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
2025-06	Magistral	Magistral		-
2025-06	Minimax-M1	MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
2025-05	MiMo	MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
2025-05	Qwen3	Qwen3 Technical Report
2025-05	Llama-Nemotron-Ultra	Llama-Nemotron: Efficient Reasoning Models
2025-05	INTELLECT-2	INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning		-
2025-05	Hunyuan-TurboS	Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
2025-05	Skywork OR-1	Skywork Open Reasoner 1 Technical Report
2025-04	Phi-4 Reasoning	Phi-4-reasoning Technical Report		-
2025-04	Skywork-R1V2	Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
2025-04	InternVL3	InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
2025-03	ORZ	Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
2025-01	DeepSeek-R1	DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
-	QwQ	QwQ-32B: Embracing the Power of Reinforcement Learning
-	Seed-OSS	Seed-OSS Open-Source Models
-	ERNIE-4.5-Thinking	ERNIE 4.5 Technical Report		-

Reward Design

Generative Rewards

Date	Name	Title	Paper	Github
2025-08	CAPO	CAPO: Towards Enhancing LLM Reasoning through Verifiable Generative Credit Assignment
2025-08	CompassVerifier	CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
2025-08	Cooper	Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
2025-08	ReviewRL	ReviewRL: Towards Automated Scientific Review with RL
2025-08	Rubicon	Reinforcement Learning with Rubric Anchors		-
2025-08	RuscaRL	Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning		-
2025-07	OMNI-THINKER	OMNI-THINKER: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards		-
2025-07	URPO	URPO: A Unified Reward & Policy Optimization Framework for Large Language Models		-
2025-07	RaR	Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains		-
2025-07	RLCF	Checklists Are Better Than Reward Models For Aligning Language Models		-
2025-07	PCL	Post-Completion Learning for Language Models		-
2025-07	K2	KIMI K2: OPEN AGENTIC INTELLIGENCE		-
2025-07	LIBRA	LIBRA: ASSESSING AND IMPROVING REWARD MODEL BY LEARNING TO THINK		-
2025-07	TP-GRPO	Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
2025-06	RewardAnything	RewardAnything: Generalizable Principle-Following Reward Models
2025-06	Writing-Zero	Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards		-
2025-06	Critique-GRPO	Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
2025-06	PAG	PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier		-
2025-06	GRAM	GRAM: A Generative Foundation Reward Model for Reward Generalization
2025-06	ProxyReward	From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation		-
2025-06	QA-LIGN	QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA		-
2025-05	RM-R1	RM-R1: Reward Modeling as Reasoning
2025-05	J1	J1: Incentivizing Thinking in LLM-as-a-Judge via RL		-
2025-05	TinyV	TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
2025-05	General-Reasoner	General-reasoner: Advancing llm reasoning across all domains		-
2025-05	RRM	Reward Reasoning Model		-
2025-05	RL Tango	RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
2025-05	Think-RM	Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
2025-04	JudgeLRM	JudgeLRM: Large Reasoning Models as a Judge
2025-04	GenPRM	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
2025-04	DeepSeek-GRM	Inference-Time Scaling for Generalist Reward Modeling		-
2025-04	AIR	AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset		-
2025-04	Pairwise-RL	A Unified Pairwise Framework for RLHF: Bridging Generative Reward Modeling and Policy Optimization		-
2025-04	xVerify	xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
2025-04	Seed-Thinking-v1.5	Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning		-
2025-04	ThinkPRM	Process Reward Models That Think
2025-03	-	Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains		-
2025-02	-	Self-rewarding correction for mathematical reasoning
2024-10	GenRM	Generative Reward Models		-
2024-08	CLoud	Critique-out-Loud Reward Models
2024-08	Generative Verifier	Generative Verifiers: Reward Modeling as Next-Token Prediction		-
2024-01	Self-Rewarding LM	Self-Rewarding Language Models		-
2023-10	Auto-J	Generative Judge for Evaluating Alignment
2023-06	Judge LLM-as-a-Judge	Judging llm-as-a-judge with mt-bench and chatbot arena

Dense Rewards

Date	Name	Title	Paper	Github
2025-09	Tree-GRPO	Tree Search for LLM Agent Reinforcement Learning
2025-09	AttnRL	Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
2025-09	TARL	Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents		-
2025-09	PROF	Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
2025-09	HICRA	Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning		-
2025-08	KlearReasoner	Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
2025-08	CAPO	CAPO: Towards Enhancing LLM Reasoning through Verifiable Generative Credit Assignment
2025-08	GTPO & GRPO-S	GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy		-
2025-08	VSRM	Promoting Efficient Reasoning with Verifiable Stepwise Reward		-
2025-08	G-RA	Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards		-
2025-08	SSPO	SSPO: Self-traced Step-wise Preference Optimization for Process Supervision and Reasoning Compression		-
2025-08	AIRL-S	Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS		-
2025-08	TreePO	TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
2025-08	MUA-RL	MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use		-
2025-07	SPRO	Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement		-
2025-07	FR3E	First Return, Entropy-Eliciting Explore		-
2025-07	ARPO	Agentic Reinforced Policy Optimization
2025-07	TP-GRPO	Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
2025-06	TreeRPO	TreeRPO: Tree Relative Policy Optimization
2025-06	TreeRL	TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
2025-06	Entropy Advantage	Reasoning with Exploration: An Entropy Perspective on Reinforcement Learning for LLMs		-
2025-06	ReasonFlux-PRM	ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
2025-05	S-GRPO	S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models		-
2025-05	GiGPO	Group-in-Group Policy Optimization for LLM Agent Training
2025-05	-	Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment		-
2025-05	Tango	RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
2025-05	StepSearch	StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
2025-05	-	Aligning Dialogue Agents with Global Feedback via Large Language Model Reward Decomposition		-
2025-05	Tool-Star	Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
2025-05	SPA-RL	SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution
2025-05	SPO	Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Mode
2025-04	GenPRM	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
2025-04	PURE	Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
2025-03	MRT	Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
2025-03	SWEET-RL	SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
2025-02	PRIME	Process Reinforcement through Implicit Rewards
2024-12	Implicit PRM	Free Process Rewards without Process Labels
2024-10	VinePPO	VinePPO: Refining Credit Assignment in RL Training of LLMs
2024-10	PAV	Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning		-
2024-04	-	From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function		-
2024-03	GELI	Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback		-
2023-12	Math-Shepherd	Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations		-
2023-05	PRM800K	Let's Verify Step by Step
2022-11	-	Solving math word problems with process- and outcome-based feedback		-

Unsupervised Rewards

Date	Name	Title	Paper	Github
2025-09	Vision-Zero	Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
2025-08	Co-Reward	Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement
2025-08	SQLM	Self-Questioning Language Models
2025-08	R-zero	R-Zero: Self-Evolving Reasoning LLM from Zero Data
2025-08	ETTRL	ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism		-
2025-07	RLSF	Post-Training Large Language Models via Reinforcement Learning from Self-Feedback		-
2025-06	RLSC	Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models		-
2025-06	RPT	Reinforcement Pre-Training		-
2025-06	CoVo	Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
2025-06	SEAL	Self-Adapting Language Models		-
2025-06	Spurious Rewards	Spurious Rewards: Rethinking Training Signals in RLVR
2025-06	No Free Lunch	No Free Lunch: Rethinking Internal Feedback for LLM Reasoning		-
2025-05	Absolute Zero	Absolute Zero: Reinforced Self-play Reasoning with Zero Data
2025-05	EM-RL	The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
2025-05	SSR-Zero	SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
2025-05	-	Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers
2025-05	RLIF	Learning to Reason without External Rewards
2025-05	SeRL	SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data
2025-05	SRT	Can Large Reasoning Models Self-Train?
2025-05	RENT-RL	Maximizing Confidence Alone Improves Reasoning
2025-04	EMPO	Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization
2025-04	TRANS-ZERO	TRANS-ZERO: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data
2025-04	TTRL	TTRL: Test-Time Reinforcement Learning
2025-04	One-Shot-RLVR	Reinforcement Learning for Reasoning in Large Language Models with One Training Example
2025-02	CAGSR	A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals		-
2024-07	MINIMO	Learning Formal Mathematics From Intrinsic Motivation

Rewards Shaping

Date	Name	Title	Paper	Github
2025-09	CDE	CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models		-
2025-09	DARLING	Jointly Reinforcing Diversity and Quality in Language Model Generations
2025-09	DRER	Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL		-
2025-09	OBE	Outcome-based Exploration for LLM Reasoning		-
2025-08	Pass@kTraining	Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
2025-05	PKPO	Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems		-
2025-05	rl-without-gt	Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers
2025-03	CrossDomain-RLVR	Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains		-
2025-01	DeepSeek-R1	DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
2024-09	Qwen2.5-Math	Qwen2. 5-math technical report: Toward mathematical expert model via self-improvement

Policy Optimization

Policy Gradient Objective

Date	Name	Title	Paper	Github
2017-07	PPO	Proximal policy optimization algorithms		-
-	PG	Policy gradient methods for reinforcement learning with function approximation.		-
-	REINFORCE	Simple statistical gradient-following algorithms for connectionist reinforcement learning		-
-	TRPO	Trust region policy optimization		-

Critic-based Algorithms

Date	Name	Title	Paper	Github
2025-08	VL-DAC	Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success
2025-08	VRPO	VRPO:Rethinking Value Modeling for Robust RL Training under Noisy Supervision		-
2025-05	VerIPO	VerIPO: Long Reasoning Video-R1 Model with Iterative Policy Optimization
2025-04	VAPO	Vapo: Efficient and reliable reinforcement learning for advanced reasoning tasks		-
2025-03	VCPPO	What’s Behind PPO’s Collapse in Long-CoT? Value Optimization Holds the Secret		-
2025-03	Open reasoner-zero	open reasoner-zero: An open source approach to scaling up reinforcement learning on the base model
2025-02	PRIME	PROCESS REINFORCEMENT THROUGH IMPLICIT REWARDS
2024-12	Implicit PRM	FREE PROCESS REWARDS WITHOUT PROCESS LABELS
2023-12	Math-shepherd	Math-shepherd: Verify and reinforce LLMs step-by-step without human annotations		-
2015-06	GAE	High-dimensional continuous control using generalized advantage estimation		-
-	Autopsv	Autopsv: Automated process-supervised verifier.

Critic-Free Algorithms

Date	Name	Title	Paper	Github
2025-09	UPGE	Towards a Unified View o fLarge Language Model Post-Training
2025-09	SPO	Single-stream Policy Optimization		-
2025-08	LitePPO	Part I: Tricks or Traps? A Deep Dive into RLfor LLM Reasoning		-
2025-07	R1-RE	R1-RE: Cross-Domain Relation Extraction with RLVR		-
2025-07	GSPO	Group Sequence Policy Optimization		-
2025-06	CISPO	MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
2025-05	KRPO	Kalman Filter Enhanced Group Relative Policy Optimization for Language Model Reasoning
2025-05	CPGD	CPGD:Toward Stable Rule-based Reinforcement Learning for Language Models
2025-05	NFT	Bridging Supervised Learning and Reinforcement Learning in Math Reasoning		-
2025-05	Clip-Cov/KL-Cov	The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
2025-03	OpenVLThinker	OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
2025-03	DAPO	DAPO: an Open-Source LLM Reinforcement Learning System at Scale
2025-03	Dr. GRPO	Understanding R1-Zero-Like Training: A Critical Perspectiv
2025-01	Kimi k1.5	Kimi k1.5: Scaling Reinforcement Learning with LLMs		-
2024-02	RLOO	Back to basics: Revisiting reinforce style optimization for learning from human feedback in llms		-
2024-02	GRPO	DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
2023-10	ReMax	ReMax: A Simple, Effective, and Efficient Method for Aligning Large Language Models
-	REINFORCE	Simple statistical gradient-following algorithms for connectionist reinforcement learning		-
-	REINFORCE++	REINFORCE++: An Efficient RLHF Algorithm with Robustnessto Both Prompt and Reward Models
-	VinePPO	VINEPPO: UNLOCKING RL POTENTIAL FOR LLM REASONING THROUGH REFINED CREDIT ASSIGNMENT
-	FlashRL	Fast RL training with Quantized Rollouts

Off-policy Optimization

Date	Name	Title	Paper	Github
2025-09	BRIDGE	Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning
2025-09	HPT	Towards a Unified View of Large Language Model Post-Training
2025-08	DFT	On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
2025-08	RED	Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline Integration
2025-07	Prefix‑RFT	Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling		-
2025-07	ReMix	Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model
2025-06	ReLIFT	Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
2025-06	BREAD	BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning		-
2025-06	SRFT	SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning		-
2025-05	AMPO	Adaptive Thinking via Mode Policy Optimization for Social Language Agents
2025-05	UFT	UFT: Unifying Supervised and Reinforcement Fine-Tuning
2025-04	LUFFY	Learning to Reason under Off-Policy Guidance
2025-03	SPO	Soft Policy Optimization: Online Off-Policy RL for Sequence Models
2025-03	TOPR	TAPERED OFF-POLICY REINFORCE Stable and efficient reinforcement learning for LLMs		-
2024-05	IFT	Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
2023-05	DPO	Direct Preference Optimization: Your Language Model is Secretly a Reward Model		-
2015-11	-	Fixed point quantization of deep convolutional networks		-
-	-	Your Efficient RL Framework Secretly Brings You Off-Policy RL Training

Off-policy Optimization (Exp replay)

Date	Name	Title	Paper	Github
2025-09	SAPO	Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing		-
2025-09	SEELE	Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding
2025-08	Memory-R1	Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning		-
2025-07	RLEP	RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning
2025-06	EFRame	EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
2025-05	ARPO	ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay
2025-04	-	Improving RL Exploration for LLM Reasoning through Retrospective Replay		-

Regularization Objectives

Date	Name	Title	Paper	Github
2025-10	ASPO	ASPO: Asymmetric Importance Sampling Policy Optimization
2025-09	CE-GPPO	CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
2025-09	CDE	CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models		-
2025-09	DPH RL	The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
2025-09	empgseed-seed	Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents		-
2025-07	Archer	Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR
2025-06	Bingo	Bingo: Boosting Efficient Reasoning of LLMs via Dynamic and Significance-based Reinforcement Learning
2025-06	HighEntropy RL	Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning		-
2025-06	Entropy RL	Reasoning with Exploration: An Entropy Perspective on Reinforcement Learning for LLMs		-
2025-06	ALP RL	Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning		-
2025-05	DisCO	DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
2025-05	Skywork OR1	Skywork Open Reasoner 1 Technical Report
2025-05	Entropy Mechanism	The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
2025-05	ProRL	ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models		-
2025-05	Short RL	Efficient RL Training for Reasoning Models via Length-Aware Optimization
2025-03	DAPO	DAPO: An Open-Source LLM Reinforcement Learning System at Scale		-
2025-03	L1	L1: Controlling how long a reasoning model thinks with reinforcement learning

Sampling Strategy

Dynamic and Structured Sampling

Date	Name	Title	Paper	Github
2025-10	EEPO	EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
2025-09	AttnRL	Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models		-
2025-09	DACE	Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning		-
2025-09	Parallel-R1	Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
2025-08	G^2RPO-A	G^2RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidanc
2025-08	RuscaRL	Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning		-
2025-08	TreePO	TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
2025-07	ARPO	Agentic Reinforced Policy Optimization
2025-06	TreeRPO	TreeRPO: Tree Relative Policy Optimization
2025-06	E2H	Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning		-
2025-06	TreeRL	TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
2025-05	ToTRL	ToTRL: Unlock LLM Tree-of-Thoughts Reasoning Potential through Puzzles Solving		-
2025-03	DARS	DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal
2025-03	DAPO	DAPO: An Open-Source LLM Reinforcement Learning System at Scale
2025-02	PRIME	Process Reinforcement through Implicit Rewards
-	POLARIS	POLARIS: A POst-training recipe for scaling reinforcement Learning on Advanced ReasonIng modelS

Sampling Hyper-Parameters

Date	Name	Title	Paper	Github
2025-08	GFPO	Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning		-
2025-06	AceReason-Nemotron 1.1	AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy		-
2025-06	T-PPO	Truncated Proximal Policy Optimization		-
2025-06	Confucius3-Math	Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
2025-05	E3-RL4LLMs	Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs
2025-05	AceReason-Nemotron	AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning		-
2025-05	Pro-RL	ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models		-
2025-03	-	Output Length Effect on DeepSeek-R1's Safety in Forced Thinking		-
2025-03	DAPO	DAPO: An Open-Source LLM Reinforcement Learning System at Scale
2025-02	PRIME	Process Reinforcement through Implicit Rewards
2025-02	-	Training Language Models to Reason Efficiently		-
-	DeepScaleR	DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL
-	POLARIS	POLARIS: A POst-training recipe for scaling reinforcement Learning on Advanced ReasonIng modelS

Training Resource

Static Corpus (Code)

Date	Name	Title	Paper	Github
2025-05	rStar-Coder	rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
2025-04	Z1	Z1: Efficient Test-time Scaling with Code
2025-04	OpenCodeReasoning	OpenCodeReasoning: Advancing Data Distillation for Competitive Coding		-
2025-04	LeetCodeDataset	LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
2025-03	KodCode	KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding		-
2025-01	SWE-Fixer	SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
2024-12	SWE-Gym	Training Software Engineering Agents and Verifiers with SWE-Gym
-	Code-R1	Code-R1: Reproducing R1 for Code with Reliable Rewards
-	codeforces-cots	CodeForces CoTs		-
-	DeepCoder	DeepCoder: A Fully Open-Source 14B Coder at O3-mini Level

Static Corpus (STEM)

Date	Name	Title	Paper	Github
2025-09	SSMR-Bench	Synthesizing Sheet Music Problems for Evaluation and Reinforcement Learning
2025-09	Loong	Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
2025-07	MegaScience	MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning		-
2025-06	ReasonMed	ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
2025-05	ChemCoTDataset	Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations		-
2025-02	NaturalReasoning	NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions		-
2025-01	SCP-116K	SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain		-

Static Corpus (Math)

Date	Name	Title	Paper	Github
2025-07	MiroMind-M1-RL-62K	MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
2025-04	DeepMath	DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
2025-04	OpenMathReasoning	AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
2025-03	STILL-3-RL	An Empirical Study on Eliciting and Improving R1-like Reasoning Models
2025-03	Light-R1	Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond		-
2025-03	DAPO	DAPO: An Open-Source LLM Reinforcement Learning System at Scale
2025-03	OpenReasoningZero	Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
2025-02	PRIME	Process Reinforcement through Implicit Rewards
2025-02	LIMO	Limo: Less is more for reasoning
2025-02	LIMR	Limr: Less is more for rl scaling
2025-02	Big-MATH	Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models		-
-	NuminaMath 1.5	Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions
-	OpenR1-Math	Open R1: A fully open reproduction of DeepSeek-R1
-	DeepScaleR	DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL		-

Static Corpus (Agent)

Date	Name	Title	Paper	Github
2025-08	ASearcher	Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL		-
2025-07	WebShaper	WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization		-
2025-05	ZeroSearch	ZeroSearch: Incentivize the Search Capability of LLMs without Searching
2025-04	ToolRL	ToolRL: Reward is All Tool Learning Needs
2025-03	Search-R1	Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
2025-03	ToRL	ToRL: Scaling Tool-Integrated RL
-	MicroThinker	MiroVerse V0.1: A Reproducible, Full-Trajectory, Ever-Growing Deep Research Dataset		-
2025-03	DeepRetrieval	DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Static Corpus (Mix)

Date	Name	Title	Paper	Github
2025-08	Graph-R1	Graph-R1: Unleashing LLM Reasoning with NP-Hard Graph Problem		-
2025-06	RewardAnything	RewardAnything: Generalizable Principle-Following Reward Models
2025-06	guru-RL-92k	Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective		-
2025-05	Llama-Nemotron-PT	Llama-Nemotron: Efficient Reasoning Models		-
2025-05	SkyWork OR1	Skywork Open Reasoner 1 Technical Report
2025-03	OpenVLThinker	OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
-	AM-DS-R1-0528-Distilled	AM-DeepSeek-R1-0528-Distilled
-	dolphin-r1	Dolphin R1 Dataset		-
-	SYNTHETIC-1/2	SYNTHETIC-1 Release: Two Million Collaboratively Generated Reasoning Traces from Deepseek-R1		-

Dynamic Environment (Rule-based)

Date	Name	Title	Paper	Github
2025-06	ProtoReasoning	ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs		-
2025-05	SynLogic	SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
2025-05	Reasoning Gym	REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
2025-05	Enigmata	Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
2025-02	AutoLogi	AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models
2025-02	Logic-RL	Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Dynamic Environment (Code-based)

Date	Name	Title	Paper	Github
2025-06	AgentCPM-GUI	AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning
2025-06	MedAgentGym	MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
2025-05	MLE-Dojo	MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
2025-05	SWE-rebench	SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents		-
2025-05	ZeroGUI	ZeroGUI: Automating Online GUI Learning at Zero Human Cost
2025-04	R2E-Gym	R2E-Gym: Procedural Environment Generation and Hybrid Verifiers for Scaling Open-Weights SWE Agents
2025-03	ReSearch	ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
2025-02	MLGym	MLGym: A New Framework and Benchmark for Advancing AI Research Agents
2024-07	AppWorld	AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Dynamic Environment (Game-based)

Date	Name	Title	Paper	Github
2025-08	PuzzleJAX	PuzzleJAX: A Benchmark for Reasoning and Learning
2025-06	Play to Generalize	Play to Generalize: Learning to Reason Through Game Play
2025-06	Optimus-3	Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts
2025-05	lmgame-Bench	lmgame-Bench: How Good are LLMs at Playing Games?
2025-05	G1	G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning
2025-05	Code2Logic	Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning
2025-05	KORGym	KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
2025-04	Cross-env-coop	Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
2022-03	ScienceWorld	ScienceWorld: Is your Agent Smarter than a 5th Grader?
2020-10	ALFWorld	ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Dynamic Environment (Model-based)

Date	Name	Title	Paper	Github
2025-06	SwS	SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
2025-06	SPIRAL	SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
2025-05	Absolute Zero	Absolute Zero: Reinforced Self-play Reasoning with Zero Data
2025-04	TextArena	TextArena
2025-03	SWEET-RL	SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
-	Genie 3	Genie 3: A new frontier for world models		-

Dynamic Environment (Ensemble-based)

Date	Name	Title	Paper	Github
2025-08	InternBootcamp	InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling
-	SYNTHETIC-2	SYNTHETIC-2 Release: Four Million Collaboratively Generated Reasoning Traces		-

RL Infrastructure (Primary)

Date	Name	Title	Paper	Github
2025-06	ROLL	Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
2025-05	AReaL	AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
2024-09	veRL	HybridFlow: A Flexible and Efficient RLHF Framework
2024-05	OpenRLHF	OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
-	TRL	Transformer Reinforcement Learning	-
-	NeMo-RL	Nemo RL: A Scalable and Efficient Post-Training Library	-
-	slime	slime: An SGLang-Native Post-Training Framework for RL Scaling	-
-	RLinf	RLinf: Reinforcement Learning Infrastructure for Agentic AI	-

RL Infrastructure (Secondary)

Date	Name	Title	Paper	Github
2025-09	RL-Factory	RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use
2025-09	verl-tool	VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
2025-09	dLLM-RL	Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
2025-08	agent-lightning	Agent Lightning: Train ANY AI Agents with Reinforcement Learning
2025-05	verl-agent	Group-in-Group Policy Optimization for LLM Agent Training
2025-04	VLM-R1	VLM-R1: A stable and generalizable R1-style Large Vision-Language Model
-	rllm	rLLM: A Framework for Post-Training Language Agents	-
-	EasyR1	EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework	-
-	verifiers	Verifiers: Reinforcement Learning with LLMs in Verifiable Environments	-
-	prime-rl	PRIME-RL: Decentralized RL Training at Scale	-
-	MARTI	A Framework for LLM-based Multi-Agent Reinforced Training and Inference	-

Applications

Coding Agent

Date	Name	Title	Paper	Github
2025-09	-	Reinforcement Learning for Machine Learning Engineering Agents		-
2025-09	-	Advancing SLM Tool-Use Capability using Reinforcement Learning		-
2025-09	SimpleTIR	SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
2025-09	-	The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
2025-08	GLM-4.5	GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
2025-08	FormaRL	FormaRL: Enhancing Autoformalization with no Labeled Data
2025-08	RLTR	Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning		-
2025-07	ARPO	Agentic Reinforced Policy Optimization
2025-07	Kimi K2	Kimi K2: Open Agentic Intelligence		-
2025-07	AutoTIR	AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning
2025-06	CoRT	CoRT: Code-integrated Reasoning within Thinking
2025-05	EvoScale	Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering
2025-03	ToRL	ToRL: Scaling Tool-Integrated RL
2025-02	SWE-RL	SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
-	Qwen3-Coder	Qwen3-Coder: Agentic Coding in the World.	-

Search Agent

Date	Name	Title	Paper	Github
2025-08	SSRL	SSRL: Self-Search Reinforcement Learning
2025-07	WebSailor	WebSailor: Navigating Super-human Reasoning for Web Agent
2025-07	WebShaper	WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization
2025-05	ZeroSearch	ZeroSearch: Incentivize the Search Capability of LLMs without Searching
2025-05	SEM	SEM: Reinforcement Learning for Search-Efficient Large Language Models		-
2025-05	S3	s3: You Don't Need That Much Data to Train a Search Agent via RL
2025-05	StepSearch	StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
2025-05	R1-Searcher++	R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
2025-04	ReZero	ReZero: Enhancing LLM search ability by trying one-more-time		-
2025-03	DeepRetrieval	DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
2025-03	Search-R1	Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
2025-03	R1-Searcher	R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Browser-Use Agent

Date	Name	Title	Paper	Github
2025-05	WebAgent-R1	WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
2025-05	WebDancer	WebDancer: Towards Autonomous Information Seeking Agency
2025-04	DeepResearcher	DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
2024-11	Web-RL	WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
2021-12	WebGPT	WebGPT: Browser-assisted question-answering with human feedback		-

DeepResearch Agent

Date	Name	Title	Paper	Github
2025-09	SFR-DeepResearch	SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents		-
2025-09	DeepDive	DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL
2025-08	Webwatcher	Webwatcher: Breaking new frontiers of vision-language deep research agent
2025-08	ASearcher	Beyond ten turns: Unlocking long-horizon agentic search with large-scale asynchronous rl
2025-08	Atom-searcher	Atom-searcher: Enhancing agentic deep research via fine-grained atomic thought reward
2025-08	MedResearcher-R1	Medreseacher-r1: Expert-level medical deep researcher via a knowledge-informed trajectory synthesis framework
2025-06	Jan-nano	Jan-nano Technical Report		-
2025-04	WebThinker	WebThinker: Empowering Large Reasoning Models with Deep Research Capability
-	Kimi-Researcher	Kimi-Researcher-End-to-End RL Training for Emerging Agentic Capabilities		-
-	Mirothinker	Mirothinker: An open-source agentic model series trained for deep research and complex, long-horizon problem solving

GUI&Computer Agent

Date	Name	Title	Paper	Github
2025-09	UI-TARS 2	UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
2025-08	GUI-RC	Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
2025-08	Os-r1	OS-R1: Agentic Operating System Kernel Tuning with Reinforcement Learning
2025-08	ComputerRL	ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents		-
2025-08	Mobile-Agent-v3	Mobile-Agent-v3: Fundamental Agents for GUI Automation
2025-08	SWIRL	SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control
2025-08	InquireMobile	InquireMobile: Teaching VLM-based Mobile Agent to Request Human Assistance via Reinforcement Fine-Tuning		-
2025-07	MobileGUI-RL	MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment		-
2025-06	GUI-Critic-R1	Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation
2025-06	GUI-Reflection	GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior		-
2025-06	Mobile-R1	Mobile-R1: Towards Interactive Reinforcement Learning for VLM-Based Mobile Agent via Task-Level Rewards		-
2025-05	UIShift	UIShift: Enhancing VLM-based GUI Agents through Self-supervised Reinforcement Learning
2025-05	GUI-G1	GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
2025-05	ARPO	ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay
2025-05	ZeroGUI	ZeroGUI: Automating Online GUI Learning at Zero Human Cost
2025-04	GUI-R1	GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
2025-03	UI-R1	UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
2025-01	UI-TARS	UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Recommendation Agent

Date	Name	Title	Paper	Github
2025-07	Shop-R1	Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning		-
2025-03	Rec-R1	Rec-R1: Bridging LLMs and Recommendation Systems via Reinforcement Learning

Agent (Others)

Date	Name	Title	Paper	Github
2025-07	OpenTable-R1	OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering
2025-07	LaViPlan	LaViPlan : Language-Guided Visual Path Planning with RLVR		-
2025-06	Drive-R1	Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning		-
-	EPO	EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning

Code Generation

Date	Name	Title	Paper	Github
2025-09	Proof2Silicon	Proof2Silicon: Prompt Repair for Verified Code and Hardware Generation via Reinforcement Learning		-
2025-09	AR$^2$	AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
2025-09	Dream-Coder	Dream-Coder 7B: An Open Diffusion Language Model for Code
2025-08	MSRL	Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation		-
2025-07	CogniSQL-R1-Zero	CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation		-
2025-07	Leanabell-Prover-V2	Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning
2025-07	StepFun-Prover	StepFun-Prover Preview: Let's Think and Verify Step by Step
2025-06	MedAgentGym	MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
2025-05	Fortune	Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models
2025-05	VeriReason	VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation
2025-05	ReEX-SQL	ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL		-
2025-05	AceReason-Nemotron	AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning		-
2025-05	SkyWork OR1	Skywork Open Reasoner 1 Technical Report
2025-05	CodeV-R1	CodeV-R1: Reasoning-Enhanced Verilog Generation
2025-05	AReaL	AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
2025-04	SQL-R1	SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
2025-04	Kimina-Prover	Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning		-
2025-04	DeepSeek-Prover-V2	DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
2025-03	Reasoning-SQL	Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL		-
-	code-r1	Code-R1: Reproducing R1 for Code with Reliable Rewards	-
-	Open-R1	Open-R1: a fully open reproduction of DeepSeek-R1
-	DeepCoder	Deepcoder: A fully open-source 14b coder at o3-mini level

Software Engineering

Date	Name	Title	Paper	Github
2025-08	UTRL	Learning to Generate Unit Test via Adversarial Reinforcement Learning		-
2025-07	RePaCA	RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment		-
2025-07	Repair-R1	Repair-R1: Better Test Before Repair
2025-06	CURE	Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
2025-05	REAL	Training Language Models to Generate Quality Code with Program Analysis Feedback		-
2025-05	Afterburner	Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
2024-09	RepoGenReflex	RepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented Generation		-
2024-07	RLCoder	RLCoder: Reinforcement Learning for Repository-Level Code Completion

Multimodal Understanding

Date	Name	Title	Paper	Github
2025-09	Vision-Zero	Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
2025-09	ReAd-R	AdsQA: Towards Advertisement Video Understanding
2025-09	Keye	Kwai Keye-VL 1.5 Technical Report
2025-08	Sifthinker	Sifthinker: Spatially-aware image focus for visual reasoning
2025-07	Long-RL	Scaling rl to long videos
2025-06	RefSpatial	Roborefer: Towards spatial referring with reasoning in vision-language models for robotics
2025-06	Ego-R1	Ego-R1: Chain-of-tool-thought for ultra-long egocentric video reasoning
2025-05	VerIPO	VerIPO: Long Reasoning Video-R1 Model with Iterative Policy Optimization
2025-05	Openthinkimg	Openthinkimg: Learning to think with images via visual tool reinforcement learning
2025-05	Visual Planning	Visual Planning: Let's think only with images
2025-05	VideoRFT	Videorft: Incentivizing video reasoning capability in mllms via reinforced fine-tuning
2025-05	Deepeyes	Deepeyes: Incentivizing" thinking with images" via reinforcement learning
2025-05	Visionary-R1	Visionary-R1: Mitigating shortcuts in visual reasoning with reinforcement learning
2025-05	CoF	Chain-of-focus: Adaptive visual search and zooming for multimodal reasoning via rl
2025-05	GRIT	GRIT: Teaching mllms to think with images
2025-05	Pixel Reasoner	Pixel Reasoner: Incentivizing pixel-space reasoning with curiosity-driven reinforcement learning
2025-05	-	Don’t look only once: Towards multimodal interactive reasoning with selective visual revisitation
2025-05	Ground-R1	Ground-R1: Incentivizing grounded visual reasoning via reinforcement learning
2025-05	TACO	TACO: Think-answer consistency for optimized long-chain reasoning and efficient data learning via reinforcement learning in lvlms		-
2025-05	Qwen-LA	Qwen look again: Guiding vision-language reasoning models to re-attention visual information
2025-05	TW-GRPO	Reinforcing video reasoning with focused thinking
2025-05	Spatial-MLLM	Spatial-MLLM: Boosting mllm capabilities in visual-based spatial intelligence
2025-04	R1-Zero-VSI	Improved visual-spatial reasoning via r1-zero-like training
2025-04	Spacer	Spacer: Reinforcing mllms in video spatial reasoning
2025-04	Videochat-R1	Videochat-R1: Enhancing spatio-temporal perception via reinforcement fine-tuning
2025-04	VLM-R1	VLM-R1: A stable and generalizable r1-style large vision-language model
2025-03	OpenVLThinker	OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
2025-03	Visual-RFT	Visual-RFT: Visual reinforcement fine-tuning
2025-03	Vision-R1	Vision-R1: Incentivizing reasoning capability in multimodal large language models
2025-03	VisRL	VisRL: Intention-Driven Visual Perception via Reinforced Reasoning
2025-03	Metaspatial	Metaspatial: Reinforcing 3d spatial reasoning in vlms for the metaverse
2025-03	Video-R1	Video-R1: Reinforcing video reasoning in mllms
2025-09	Vision-Zero	Vision-Zero: Scalable VLM Self-Improvement via strategic Gamified Self-Play

Multimodal Generation

Date	Name	Title	Paper	Github
2025-09	IGPO	Inpainting-Guided Policy Optimization for Diffusion Large Language Models		-
2025-08	Qwen-Image	Qwen-Image Technical Report
2025-08	TempFlow-GRPO	TempFlow-GRPO: When timing matters for grpo in flow models
2025-07	MixGRPO	MixGRPO: Unlocking flow-based grpo efficiency with mixed ode-sde
2025-06	FocusDiff	Focusdiff: Advancing fine-grained text-image alignment for autoregressive visual generation through rl
2025-06	SUDER	Reinforcing multimodal understanding and generation with dual self-rewards		-
2025-05	T2I-R1	T2I-R1: Reinforcing image generation with collaborative semantic-level and token-level cot
2025-05	Flow-GRPO	Flow-GRPO: Training flow matching models via online rl
2025-05	DanceGRPO	DanceGRPO: Unleashing grpo on visual generation
2025-05	GoT-R1	GoT-R1: Unleashing reasoning capability of mllm for visual generation with reinforcement learning
2025-05	ULM-R1	Co-Reinforcement learning for unified multimodal understanding and generation
2025-05	RePrompt	Reprompt: Reasoning-augmented reprompting for text-to-image generation via reinforcement learning
2025-05	InfLVG	InfLVG: Reinforce inference-time consistent long video generation with grpo
2025-05	Reasongen-R1	Reasongen-R1: Cot for autoregressive image generation models through sft and rl
2025-04	PhysAR	Reasoning physical video generation with diffusion timestep tokens via reinforcement learning		-

Robotics Tasks

Date	Name	Title	Paper	Github
2025-09	SimpleVLA-RL	SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
2025-06	TGRPO	TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization		-
2025-05	ReinboT	ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning
2025-05	RIPT-VLA	InteractivePost-Trainingfor Vision-Language-ActionModels
2025-05	VLA-RL	VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning
2025-05	RFTF	RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback		-
2025-05	VLA Generalization	What can rl bring to vla generalization? an empirical study
2025-02	ConRFT	ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy
2024-11	GRAPE	GRAPE: Generalizing Robot Policy via Preference Alignment
-	RLinf	RLinf: Reinforcement Learning Infrastructure for Agentic AI		-
-	EPO	EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning

Multi-Agent Systems

Date	Name	Title	Paper	Github
2025-10	AgentFlow	In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
2025-09	SoftRankPO,	Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning		-
2025-09	BFS-Prover-V2	Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers		-
2025-08	MAGRPO	LLM Collaboration With Multi-Agent Reinforcement Learning		-
2025-06	AlphaEvolve	AlphaEvolve: A coding agent for scientific and algorithmic discovery		-
2025-06	JoyAgents-R1	JoyAgents-R1: Joint Evolution Dynamics for Versatile Multi-LLM Agents with Reinforcement Learning		-
2025-03	ReMA	ReMA: Learning to Meta-think for LLMs with Multi-agent Reinforcement Learning
2025-02	CTRL	Teaching Language Models to Critique via Reinforcement Learning
2025-02	Maporl	MAPoRL2: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning
2023-11	LLaMAC	Controlling large language model-based agents for large-scale decision-making: An actor-critic approach		-

Scientific Tasks

Date	Name	Title	Paper	Github
2025-09	Baichuan-M2	Baichuan-M2: Scaling Medical Capability with Large Verifier System		-
2025-08	CX-Mind	CX-Mind: A Pioneering Multimodal Large Language Model for Interleaved Reasoning in Chest X-ray via Curriculum-Guided Reinforcement Learning
2025-08	MORE-CLEAR	MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation		-
2025-08	ARMed	Breaking Reward Collapse: Adaptive Reinforcement for Open-ended Medical Reasoning with Enhanced Semantic Discrimination		-
2025-08	ProMed	ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
2025-08	OwkinZero	OwkinZero: Accelerating Biological Discovery with AI		-
2025-08	MolReasoner	MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs
2025-08	MedGR$^2$	MedGR$^2$: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning		-
2025-07	MedGround-R1	MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
2025-07	MedGemma	MedGemma Technical Report		-
2025-06	MMedAgent-RL	MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning		-
2025-06	Cell-o1	Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning
2025-06	MedAgentGym	MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
2025-06	Med-U1	Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning
2025-06	MedVIE	Efficient Medical VIE via Reinforcement Learning		-
2025-06	LA-CDM	Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning		-
2025-06	ether0	Training a Scientific Reasoning Model for Chemistry
2025-06	Gazal-R1	Gazal-R1: Achieving State-of-the-Art Medical Reasoning with Parameter-Efficient Two-Stage Training		-
2025-05	DRG-Sapphire	Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding
2025-05	BioReason	BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
2025-05	EHRMIND	Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning		-
2025-04	Open-Medical-R1	Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
2025-04	ChestX-Reasoner	ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification		-
2025-04	BoxMed-RL	Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation		-
2025-03	PPME	Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning		-
2025-03	DOLA	Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent		-
2025-02	Baichuan-M1	Baichuan-M1: Pushing the Medical Capability of Large Language Models		-
2025-02	MedVLM-R1	MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning		-
2025-02	Med-RLVR	Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning		-
2025-01	MedXpertQA	MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
2024-12	HuatuoGPT-o1	HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
-	Pro-1	Pro-1
-	rbio	rbio1 - training scientific reasoning LLMs with biological world models as soft verifiers
-	EPO	EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning

🌟 Acknowledgment

This survey is extended and refined from the original Awesome RL Reasoning Recipes repo. We are deeply grateful to all contributors for their efforts, and we sincerely thank for their all interest in Awesome RL Reasoning Recipes. The contents of the previous repository are available here.

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