Group Relative Policy Optimization

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Period ending 2026-09-21

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21 new papers

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  1. UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models

    Apr 20, 2026Jiaqi Wang, Haoge Deng, Ting Pan +5Group Relative Policy OptimizationGenerative Models

  2. Negative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search Agents

    Apr 20, 2026Jiayi Wu, Ruobing Xie, Zeqian Huang +6Group Relative Policy OptimizationSearch Agents

  3. Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?

    Apr 20, 2026Ku Onoda, Paavo Parmas, Manato Yaguchi +1Policy GradientEstimators

  4. Efficient Federated RLHF via Zeroth-Order Policy Optimization

    Apr 20, 2026Deyi Wang, Qining Zhang, Lei YingFederated Reinforcement LearningReinforcement Learning From Human Feedback

  5. OmniVLA-RL: A Vision-Language-Action Model with Spatial Understanding and Online RL

    Apr 20, 2026Haoxiang Jie, Yaoyuan Yan, Xiangyu Wei +4Vision-Language-Action ModelsSpatial Reasoning

  6. Poly-EPO: Training Exploratory Reasoning Models

    Apr 19, 2026Ifdita Hasan Orney, Jubayer Ibn Hamid, Shreya S Ramanujam +5Multi-Objective Policy OptimizationEfficient Exploration

  7. CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search

    Apr 19, 2026Hansi Zeng, Liam Collins, Bhuvesh Kumar +2Agentic SearchReranking

  8. MCPO: Mastery-Consolidated Policy Optimization for Large Reasoning Models

    Apr 18, 2026Zhaokang Liao, Yingguo Gao, Yi Yang +2Reinforcement Learning With Verifiable RewardGroup Relative Policy Optimization

  9. Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning

    Apr 18, 2026Benteng Chen, Weida Wang, Shufei Zhang +2Large Reasoning ModelsEarly Stopping

  10. S-GRPO: Unified Post-Training for Large Vision-Language Models

    Apr 17, 2026Yuming Yan, Kai Tang, Sihong Chen +4Vision-Language Model AdaptationLarge Vision Language Models

  11. The Price of Paranoia: Robust Risk-Sensitive Cooperation in Non-Stationary Multi-Agent Reinforcement Learning

    Apr 17, 2026Deep Kumar Ganguly, Chandradithya S Jonnalagadda, Pratham Chintamani +1CooperationMulti-Agent Reinforcement Learning

  12. Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO

    Apr 17, 2026Arash Ahmadi, Parisa Masnadi, Sarah Sharif +3Large Language Model Post-TrainingRubric-Based Reinforcement Learning

  13. RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

    Apr 16, 2026Hao Gao, Shaoyu Chen, Yifan Zhu +4Diffusion PlanningAutonomous Driving

  14. Targeted Exploration via Unified Entropy Control for Reinforcement Learning

    Apr 16, 2026Chen Wang, Lai Wei, Yanzhi Zhang +5Reinforcement Learning With Verifiable RewardGroup Relative Policy Optimization

  15. Region-Constrained Group Relative Policy Optimization for Flow-Based Image Editing

    Apr 10, 2026Zhuohan Ouyang, Zhe Qian, Wenhuo Cui +1Image EditingGroup Relative Policy Optimization

  16. Resilient Decentralized Ergodic Coverage for Scalable Multi-Robot Systems in Unknown Time-Varying Environments

    Apr 5, 2026Maria G. Mendoza, Victoria Marie Tuck, Chinmay Maheshwari +1Multi-Robot SystemsFinite-Sample Coverage Guarantees

  17. Marginal-Contribution Policy Gradients under Filtered Feedback for Multi-Agent LLMs

    Apr 3, 2026Elai Ben-Gal, Stela TongCredit AssignmentMulti-Agent Reinforcement Learning

  18. Policy Improvement Reinforcement Learning

    Apr 1, 2026Huaiyang Wang, Xiaojie Li, Xiaohan Wang +10Reinforcement Learning Post-TrainingMulti-Objective Policy Optimization

  19. Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering

    Mar 30, 2026Yanjie Zhang, Yafei Li, Rui Sheng +5ChartVisual Reasoning

  20. CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control

    Mar 16, 2026Gelu Liu, Teng Wang, Zhijie Wu +3Zero-Shot Sim-To-Real TransferSim-To-Real Gap

  21. TADPO: Reinforcement Learning Goes Off-road

    Mar 6, 2026Zhouchonghao Wu, Raymond Song, Vedant Mundheda +3Proximal Policy OptimizationTerrain

  22. GIPO: Gaussian Importance Sampling Policy Optimization

    Mar 4, 2026Chengxuan Lu, Zhenquan Zhang, Shukuan Wang +3Multi-Objective Policy OptimizationImitation Learning

  23. Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment

    Feb 17, 2026Jialu Wang, Heinrich Peters, Asad A. Butt +6Preference AlignmentGroup Relative Policy Optimization

  24. GRRM: Group Relative Reward Modeling for Machine Translation

    Feb 15, 2026Sen Yang, Shanbo Cheng, Lu Xu +2Machine Translation QualityMachine Translation

  25. F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare

    Feb 6, 2026Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov +4Group Relative Policy OptimizationReinforcement Learning With Verifiable Reward

  26. Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO

    Feb 6, 2026Yunze Tong, Mushui Liu, Canyu Zhao +7Generative Flow NetworksFlow-Grpo

  27. The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL

    Feb 6, 2026Yingru Li, Jiawei Xu, Ziniu Li +10Group Relative Policy OptimizationLogit Lens

  28. Constrained Group Relative Policy Optimization

    Feb 5, 2026Roger Girgis, Rodrigue de Schaetzen, Luke Rowe +3Group Relative Policy Optimization

  29. BRIDGE: Bridging Reasoning In Distillation Gap Elimination via Structure-Aware Masking

    Feb 5, 2026Bowen Yu, Sheng Zhang, Binhao Wang +8Chain-Of-Thought DistillationCurriculum

  30. Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design

    Feb 4, 2026Jaemoo Choi, Yuchen Zhu, Wei Guo +6Reward GradientsLikelihood

  31. Policy of Thoughts: Scaling Test-Time Training for LLM Reasoning via Online Policy Evolution

    Jan 28, 2026Zhengbo Jiao, Hongyu Xian, Qinglong Wang +5Large Language Model ReasoningGroup Relative Policy Optimization

  32. PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization

    Jan 15, 2026Tingyue Pan, Jie Ouyang, Mingyue Cheng +7Agentic Reinforcement-Learning FrameworkMulti-Objective Policy Optimization

  33. KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering

    Dec 10, 2025Xin Sun, Zhongqi Chen, Xing Zheng +6Large Language Model ReasoningKnowledge Graphs

  34. Iterative GRPO: Batch-Online Policy Iteration for Multi-Turn RL via Single-Turn RLHF

    Nov 26, 2025Daniel R. Jiang, Ankur Samanta, Yukai Yang +3Group Relative Policy OptimizationReinforcement Learning From Human Feedback

  35. Rethinking Reward Signals in Video GRPO: When Scores Become Targets

    Nov 24, 2025Rui Li, Yuanzhi Liang, Ziqi Ni +3Group Relative Policy Optimization

  36. Strengthening LLMs for Tabular Prediction with Structural Priors

    Oct 20, 2025Pengxiang Cai, Zihao Gao, Wanchen Lian +2Tabular LearningLarge Language Model Post-Training

  37. LLP: LLM-Based Product Pricing in E-commerce

    Oct 10, 2025Hairu Wang, Sheng You, Qiheng Zhang +5PricesProducts

  38. Learning Robust Penetration Testing Policies under Partial Observability: A systematic evaluation

    Sep 24, 2025Raphael Simon, Pieter Libin, Wim MeesPartially Observable Markov Decision ProcessPenetration Testing

  39. Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games

    Sep 22, 2025Eduardo Sebastián, Maitrayee Keskar, Eeman Iqbal +3Multi-Agent Reinforcement LearningZero--Sum Differential Game

  40. ReST-RL: Reinforcing LLM Reasoning through Unified Self-Training and Value-Guided Search

    Aug 27, 2025Sining Zhoubian, Dan Zhang, Jie TangLarge Language Model ReasoningReinforcement Learning With Verifiable Reward

  41. AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization

    Aug 6, 2025Jingyi Liao, Yongyi Su, Rong-Cheng Tu +6Zero-Shot Anomaly DetectionAnomaly Detection

  42. MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

    Jul 29, 2025Junzhe Li, Yutao Cui, Tao Huang +8Flow-GrpoGroup Relative Policy Optimization

  43. ESSA: Evolutionary Strategies for Scalable Alignment

    Jul 6, 2025Daria Korotyshova, Boris Shaposhnikov, Alexey Malakhov +7Large Language Model AlignmentLarge Models

  44. Policy Improvement with Style-Specific Demonstrations

    Jun 20, 2025Lingfeng Li, Yunlong Lu, Yongyi Wang +1Multi-Agent Reinforcement LearningProximal Policy Optimization

  45. Composite Reward Design in PPO-Driven Adaptive Filtering

    May 29, 2025Abdullah Burkan BereketogluParticle FiltersNoise-Aware

  46. Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems

    May 1, 2025Xianjin Yang, Jingguo ZhangHamilton-Jacobi ReachabilityGaussian Process

  47. Transductive Off-policy Proximal Policy Optimization

    Jun 6, 2024Yaozhong Gan, Renye Yan, Xiaoyang Tan +2Proximal Policy Optimization

  48. Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty

    Apr 22, 2024Xulin Chen, Ruipeng Liu, Zhenyu Gan +1Proximal Policy OptimizationDeep Reinforcement Learning

  49. TERC: A Transfer Entropy Redundancy Criterion for State Variable Selection in Reinforcement Learning

    Jan 21, 2024Charles Westphal, Stephen Hailes, Mirco MusolesiEntropy Regularized Reinforcement LearningProximal Policy Optimization

  50. Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration

    Oct 11, 2023Zeyang Li, Chuxiong Hu, Yunan Wang +4Entropy Regularized Reinforcement LearningPolicy Gradient

  51. TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas

    Date pendingAi Jian, Xiaoyun Zhang, Eryu Guo +6Text-To-SqlSchema

  52. Complementing reinforcement learning with SFT through logit averaging in the post training of LLMs

    Date pendingXingwei Gan, Ying ZhuGroup Relative Policy OptimizationReinforcement Learning Post-Training