Group Relative Policy Optimization

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Period ending 2026-09-21

14 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

21 new papers

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  1. AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization

    Jul 19, 2026Yuejia Dou, Hesong Wang, Xinyu Zhang +6First-Price AuctionsAgentic Optimization

  2. Group Entropy-Controlled Policy Optimization

    Jul 18, 2026Guangran Cheng, Chengqi Lyu, Songyang Gao +2Group Relative Policy OptimizationGroup

  3. TAPR: Enhancing LLM Performance with a Task-Aware Prompt Rewriter

    Jul 17, 2026Oliver Savolainen, Emanuele Bastianelli, Hosein AzarbonyadPrompt EngineeringLarge Language Model Performance

  4. Mask-Aware Policy Gradients for Diffusion Language Models

    Jul 16, 2026Haran Raajesh, Kulin Shah, Adam Klivans +1Masked Diffusion Language ModelsPolicy Gradient

  5. Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies

    Jul 16, 2026Filippos Vlahos, Guillaume Bied, Tijl De BieIdeologyLarge Language Model Bias

  6. UniVR: Thinking in Visual Space for Unified Visual Reasoning

    Jul 14, 2026Zhongwei Ren, Yunchao Wei, Yao Zhao +5Visual ReasoningUnison

  7. A Learning-Rate-Gated Failure of GRPO in a Small Language and Vision-Language Model Web Agent: A Controlled Null and Its Mechanism

    Jul 14, 2026Chengguang Gan, Zhixi Cai, Yunhao Liang +3Group Relative Policy OptimizationReinforcement Learning With Verifiable Reward

  8. Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO

    Jul 13, 2026Xin Zhang, Haochen Wang, Yikang Zhou +3Group Relative Policy OptimizationLocalization Methods

  9. FAD-SA-GRU: Enhancing Hate Speech Detection in Algerian Dialect Through Feature-Augmented Self-Attention GRU Networks

    Jul 13, 2026Sara Yakoubi, Ikram Khalfallah, Kenza Khelkhal +1Hate SpeechArabic

  10. MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment

    Jul 13, 2026Junyoung Park, Namgyu Park, Sechan Lee +3Jailbreak EvaluationsCredit Assignment

  11. Route, Communicate, and Reason: Gated Routing and Adaptive Depth for Efficient Multi-Agent Reasoning

    Jul 12, 2026Sudipto Ghosh, Tanmoy ChakrabortyMulti-Agent ReasoningMulti-Agent Systems

  12. REVA-PO: Stabilizing Reinforcement Learning for Chest X-ray Report Generation

    Jul 11, 2026Li Guo, Anas M. Tahir, Z. Jane WangChest RadiographyMedical Vision-Language Models

  13. MAG: A Web-Agent Benchmark and Harness for Multimodal Action and Guide Generation

    Jul 11, 2026Chengguang Gan, Hanjun Wei, Yunhao Liang +3Web AgentsMultimodal Agents

  14. SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions

    Jul 9, 2026Elham Daneshmand, Majid Khadiv, Glen Berseth +1Proximal Policy OptimizationImitation Learning

  15. MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning

    Jul 9, 2026Harrison Rush, Vincent Davis, Simone Antonelli +3Flow-Based PolicyProximal Policy Optimization

  16. When Synthetic Speech Is All You Have: Better Call GRPO

    Jul 9, 2026Shashi Kumar, Yanis Labrak, Hasindri Watawana +5Flow-GrpoGroup Relative Policy Optimization

  17. Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF

    Jul 8, 2026Eric Zhu, Abhinav Shrivastava, Soumik MukhopadhyayReinforcement Learning From Human FeedbackReward Gradients

  18. Max Out GRPO Signal: Adaptive Trace Prefix Control for Hard Reasoning Problems

    Jul 8, 2026Vladislav BeliaevGroup Relative Policy OptimizationFlow-Grpo

  19. UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma

    Jul 8, 2026Chongyu Fan, Pengfei Liu, Jingjia Huang +2Multi-Objective Policy OptimizationEfficient Exploration

  20. Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM Agents

    Jul 7, 2026Yijun Zhang, Fan Xu, Jiaxin Ding +6Autoregressive RolloutMulti-Objective Policy Optimization

  21. Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design

    Jul 7, 2026Alexander Rombach, Chantale Lauer, Nijat MehdiyevReliable Medical Process-Level Reward Model Evaluation FrameworkExternal Reward Models

  22. TREK: Distill to Explore, Reinforce to Refine

    Jul 6, 2026Yuanda Xu, Zhengze Zhou, Kayhan Behdin +10Group Relative Policy OptimizationReasoning Trajectory

  23. NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation

    Jul 5, 2026Junjie Tang, Jun Huan, Hao Zhou +2Graphics Processing Unit KernelsAccelerator

  24. RL Forgets! Towards Continual Policy Optimization

    Jul 5, 2026Mao-Lin Luo, Zhe-Xu Wang, Zi-Hao Zhou +4Catastrophic ForgettingMulti-Objective Policy Optimization

  25. Progress- and Reliability-Oriented Group Policy Optimization for Agentic Reinforcement Learning

    Jul 5, 2026Mingxuan Fan, Peiyang LiuGroup Relative Policy OptimizationAgentic Reinforcement-Learning Framework

  26. NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO

    Jul 4, 2026Xinqi ZhangCounterfactual ReasoningFlips

  27. Anticipatory Reinforcement Learning for Trajectory Tracking

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Iterative Reinforcement LearningDeep Reinforcement Learning

  28. Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan HuberIterative Reinforcement LearningQuadrotor Control

  29. Learning Agile Intruder Interception using Differentiable Quadrotor Dynamics

    Jul 2, 2026Michael Anoruo, Xiaoyu Tian, Abhishek Rathod +5Quadrotor ControlDeep Reinforcement Learning

  30. Mean Field Reinforcement Learning

    Jul 1, 2026René Carmona, Mathieu LaurièreMean-Field LimitMulti-Agent Reinforcement Learning

  31. Staleness-Learning Rate Scaling Laws for Asynchronous RLHF

    Jul 1, 2026Jingwei Song, Haofeng Xu, Jie Xiao +8Long RolloutsLearning Rates

  32. Linguistic Relative Policy Optimization for Video Anomaly Reasoning

    Jul 1, 2026Jiaxu Leng, Jiankang Zheng, Mengjingcheng Mo +4Video Anomaly UnderstandingAnomalous Frame Detection

  33. Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition

    Jul 1, 2026Zhiqi Li, Wen Zhang, Bo ZhuInvertible FlowsSamplers

  34. Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization

    Jul 1, 2026Xuefeng Liu, Mingxuan Cao, Qinan Huang +3Molecular OptimizationGroup Relative Policy Optimization

  35. ELMP: Efficient Learning for Motion Planning via Analytical Policy Gradients

    Jun 30, 2026Yixiao Li, Tifanny Portela, Jordis Herrmann +2Motion PlannersParameter-Efficient Adaptation

  36. GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity

    Jun 30, 2026Yong Yi Bay, Kathleen A. YearickGroup Relative Policy OptimizationTraining Language Models

  37. TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning

    Jun 30, 2026Yuanda Xu, Zhengze Zhou, Hejian Sang +6Credit AssignmentCredit Scoring

  38. Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models

    Jun 30, 2026Lang Cao, Renhong Chen, Luyi Li +3Flow-Matching Vision-Language-ActionDeep Reinforcement Learning

  39. ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents

    Jun 30, 2026Binjie Zhang, Mike Zheng ShouGroup Relative Policy OptimizationMulti-Turn Tool-Use Agent

  40. Predictable GRPO: A Closed-Form Model of Training Dynamics

    Jun 29, 2026Rajat Ghosh, Datta Nimmaturi, Aryan Singhal +4Group Relative Policy OptimizationReward Modeling

  41. DRIFT: Difficulty Routing Self-DIstillation with Rhythm-Gated Exploration and Success BuFfer Training

    Jun 29, 2026Haisen Luo, Yiwei Liu, Haoning Wang +13Unsupervised On-Policy Self-DistillationGroup Relative Policy Optimization

  42. H-GRPO: Permutation-Invariant Reinforcement Learning for Grounded Visual Reasoning

    Jun 29, 2026Eric Peh, Debaditya Roy, Basura FernandoExplicit Visual GroundingLarge Vision Language Models

  43. PS-PPO: Prefix-Sampling PPO for Critic-Free RLHF

    Jun 29, 2026Doo Hwan Hwang, Kee-Eung KimReinforcement Learning From Human FeedbackCritic-Free Reinforcement Learning

  44. Process Advantage Signal Shaping: A Paradigm-Agnostic Middleware for Process-Supervised RL in LLM Reasoners

    Jun 28, 2026Chao Wang, Hongtao Tian, Tao Yang +3Reliable Medical Process-Level Reward Model Evaluation FrameworkGroup Relative Policy Optimization

  45. On the Policy Gradient Foundations of Group Relative Policy Optimization: Credit Assignment, Gradient Sparsity, and Rank Collapse

    Jun 28, 2026Amritansh Mishra, Supriyo Chakraborty, Berkcan KapusuzogluGroup Relative Policy OptimizationPolicy Gradient

  46. BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards

    Jun 27, 2026Yupeng Chang, Yuan Wu, Yi ChangReinforcement Learning With Verifiable RewardCritic-Free Reinforcement Learning

  47. GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems

    Jun 26, 2026Xiaocheng Yang, Abdulrahman Alrabah, Dilek Hakkani-Tür +1Multi-Agent SystemsCredit Assignment

  48. PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control

    Jun 26, 2026Jiatao Ding, Songqun Gao, Andrea Del Prete +1Proximal Policy OptimizationSafety Constraints

  49. SWE-MeM: Learning Adaptive Memory Management for Long-Horizon Coding Agents

    Jun 26, 2026Shuzheng Gao, Wenhao Zeng, Zhaojian Yu +5Agent MemoryLong-Horizon Agents

  50. Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization

    Jun 25, 2026Zhenhua Xu, Dongsheng Chen, Jian Li +7Role-Playing AgentsAgentic Reasoning

  51. PortraitGen: Exemplar-Driven GRPO with Dual-Reward Guidance for Photorealistic Portrait Generation

    Jun 25, 2026Xiaomin Li, Qian Liang, Yinan Li +5PortraitsLarge-Scale Image Generation

  52. SpatialFlow-GRPO: Where Spatial Credit Drives Image Editing

    Jun 25, 2026Yankai Yang, Yancheng Long, Wei Chen +7Image EditingFlow-Grpo

  53. NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research

    Jun 25, 2026Qiaobo Hao, Yangqian Wu, Shunyi Wang +5Large Language Model Post-TrainingLLM Post-Training Methods

  54. EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning

    Jun 24, 2026Boyun Zhang, Chao Wang, Kai WuSoft Actor-CriticSelf-Evolving Agents

  55. Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents

    Jun 24, 2026Peng Xu, Sijia Chen, Junzhuo Li +1Group Relative Policy OptimizationPotential-Based Reward Shaping

  56. MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources

    Jun 24, 2026Ke Zhao, Zixiang Di, Hong Qian +9Llm-Based Optimization ModelingMulti-Objective Policy Optimization

  57. BiPACE: Bisimulation-Guided Policy Optimization with Action Counterfactual Estimation for LLM Agents

    Jun 24, 2026Hanyang Wang, Weijieying Ren, Yuxiang Zhang +4Group Relative Policy OptimizationLarge Language Model Agents

  58. ExTra: Exploratory Trajectory Optimization for Language Model Reinforcement Learning

    Jun 23, 2026Wenyang Hu, Junxiang Jia, Zhen Shu +3Reinforcement Learning With Verifiable RewardReasoning Trajectory

  59. Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning

    Jun 23, 2026Tianyuan Shi, Canbin Huang, Bei Li +4Unsupervised On-Policy Self-DistillationLarge Language Model Reasoning

  60. KLip-PPO: A per-sample KL perspective on PPO-Clip

    Jun 22, 2026Riccardo Colletti, Robin HolzingerProximal Policy OptimizationKullback-Leibler Divergence