Reinforcement Learning

Also known as RL

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144 papers in the last four weeks, up 243% on the four weeks before. 1.4% of all new papers.

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  1. LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff Prompts

    Jul 30, 2026Ken DingReinforcement LearningRL for Language Model Reasoning

    NVIDIA

  2. SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning

    Jul 29, 2026Jianze Wang, Kunwang Zheng, Ying Liu +5Reinforcement LearningTest-Time RL

    School of Artificial Intelligence and Automation, Huazhong University of Science and Technology · Alibaba Group · University of Science and Technology of China

  3. RLPF: Reinforcement Learning from Performance Feedback for Code Generation

    Jul 29, 2026Huihao Jing, Haozhe Cui, Wenbin Hu +9RL for Code GenerationReinforcement Learning

    The Hong Kong University of Science and Technology (HKUST)

  4. Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning

    Jul 29, 2026Gong Gao, Xiao Lai, Ziqi Xie +3Reinforcement LearningActor-Critic Methods

    School of Computer Science and Technology, Tongji University, 200092, Shanghai, China · Shanghai University of Engineering Science, 201620, Shanghai, China

  5. RLMM-Flow: A Flow-based Mobile Manipulation Framework with Latent-Space Reinforcement Learning

    Jul 29, 2026Shuhang Wang, Ziming Li, Hui ChengReinforcement LearningMobile Manipulation

  6. DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning

    Jul 29, 2026Shuhang Wang, Ziming Li, Hui ChengRL for Code GenerationReinforcement Learning

  7. Reinforcement Learning on Cost-Constrained Quadrupedal Hardware

    Jul 29, 2026Javier C. Weddington, Bence P. Ölveczky, Stephen A. BaccusDynamical SystemsReinforcement Learning

    Neurosciences Interdepartmental Program, Stanford University, Stanford, CA 94305 USA · Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138 USA · Department of Neurobiology, Stanford University School of Medicine, Stanford, CA 94305 USA

  8. Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning

    Jul 29, 2026Keegan Harris, Brian W. Lee, Ian Waudby-Smith +3Reinforcement LearningKL-Regularized RL

    University of California, Berkeley · Inria & École Normale Supérieure

  9. Early Verdicts, Better Budgets: Sequential Adaptive Rollout Allocation for Compute-Efficient RLVR

    Jul 28, 2026Pixel Nomand, Elena Voss, Marcus Hale +1Reinforcement LearningRL for Language Model Reasoning

    University of Wisconsin–Madison · University of Washington

  10. Reinformed Dreamer: An Asymmetric World Model Efficiently Trained through Latent Guidance

    Jul 28, 2026Gaspard Lambrechts, Adrien Bolland, Daniel Ebi +1Reinforcement LearningWorld Models

    1McGill University, Canada · 3Université de Liège, Belgium · 4Karlsruhe Institute of Technology, Germany

  11. Reinforcement Learning for Code Optimization

    Jul 28, 2026Pierre Chambon, Kunhao Zheng, Juliette Decugis +2RL for Code GenerationReinforcement Learning

    FAIR at Meta · Inria · Université Paris Dauphine

  12. CAST: Game Solvers as Turn-Level Teachers for LLM Agents

    Jul 28, 2026Yu Wang, Yi-Kai Zhang, Wentao Shi +8Reinforcement LearningGame-Playing Agents

    University of Science and Technology of China · 4Meituan, China · 2Nanjing University +1

  13. A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics

    Jul 28, 2026Zheshun Wu, Renjie Zheng, Jinhang Zuo +2Non-Stationary RLRegret Minimization in RL

    Southern University of Science and Technology · Harbin Institute of Technology, Shenzhen Shenzhen, Guangdong, China · Southern University of Science and Technology Shenzhen, Guangdong, China +4

  14. Inverse RL Helps Align AI by Imitating Humans

    Jul 27, 2026Michał Wiliński, Liu Leqi, Chirag NagpalRL for Language ModelsLLM Alignment

    Carnegie Mellon University · The University of Texas at Austin · Independent Researcher

  15. ACRL: Adaptive Control of Training-Inference Discrepancy for Stable Reinforcement Learning

    Jul 27, 2026Wenwu Fan, Qihong Lin, Zhijie Xia +4RL ControlRL for Language Models

    Computing Product Line, Huawei

  16. EviBack: Search-Agent Reinforcement Learning via Evidence-Constrained Teacher Backoff

    Jul 27, 2026Xiao Ma, Zhiquan Hu, Yi Wei +5Reinforcement LearningAgentic RAG

    NEXTAI Research Institute, Chery Group

  17. Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning

    Jul 26, 2026Zahra Abdalla Elashaal, Afef Hfaiedh, Nahla Khraief +2Reinforcement LearningHierarchical RL

    Lab. of Robotics, Informatics and Complex Systems, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia · Faculty of Information Technology, University of Tripoli, Tripoli, Libya · Lab. of Robotics, Informaticsand Complex Systems, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia +3

  18. Offline-Online Curriculum RL for Multimodal Reasoning

    Jul 26, 2026Wendi Deng, Hang Du, Guoshun Nan +11Reinforcement LearningRL for Language Model Reasoning

    Beijing University of Posts and Telecommunications, Beijing, 100876, China. · BUPT Shenzhen Institute, ShenZhen, 518038, China. · Carnegie Mellon University, Pittsburgh, USA. +4

  19. LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction

    Jul 26, 2026Xiao You, Tianwei Yan, Zixu Shan +2LLM Self-CorrectionRL for Language Models

    Hefei University of Technology, Hefei, China · Chongqing Jiaotong University, Chongqing, China

  20. Label-free Industrial Fault Detection via Adversarial Inverse Reinforcement Learning: A System for Run-to-Failure Prognostics

    Jul 25, 2026Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley +1Reinforcement LearningIndustrial Anomaly Detection

    Deakin University · Waurn Ponds, Victoria, Australia

  21. Explainable Reinforcement Learning for assisting Air Traffic Controllers

    Jul 24, 2026Anduel Mehmeti, Gabriella Gigante, Salvatore VenticinqueReinforcement LearningIntelligent Transportation Systems

    Department of Engineering, University of Campania "Luigi Vanvitelli", Italy · CIRA, Italy

  22. On the Runtime Analysis of Reinforcement Learning Hyper-Heuristics

    Jul 24, 2026Pietro S. Oliveto, Zhenyu Wang, Peizhou Wu +1Reinforcement LearningAutomated Heuristic Design

    Southern University of Science and Technology, 518055 Shenzhen, China

  23. Variance-Reduced Q-Learning over Static and Time-Varying Networks

    Jul 24, 2026Sreejeet Maity, Feng Zhu, Aritra Mitra +1Reinforcement LearningQ-Learning

    Department of Electrical and Computer Engineering, North Carolina State University · Department of Electrical and Computer Engineering, University of California San Diego, San Diego, USA

  24. Expert Behavior Prior Reinforcement Learning

    Jul 23, 2026Gong Gao, Weidong Zhao, Xianhui Liu +1RL ControlReinforcement Learning

    School of Computer Science, Tongji University, China

  25. FORGE-plus: Force-Budgeted Recovery for Contact-Rich Assembly with a Frozen LLM Supervisor

    Jul 23, 2026Kyupaeck Jeff Rah, Midum OhReinforcement LearningLanguage Model-Based Control

    Independent Researcher

  26. Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning

    Jul 22, 2026Jian Hu, Huiying Li, Hao Zhang +8Agentic RLReinforcement Learning

    NVIDIA

  27. Active Inference as a Convex Markov Decision Process

    Jul 22, 2026Nikola Milosevic, Nicolás Hinrichs, Nico ScherfMarkov Decision ProcessesReinforcement Learning

    Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany

  28. Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection

    Jul 22, 2026Priyalakshmi Sheela, Indrakshi DeyReinforcement LearningConcept Drift

    Walton Institute, Department of Computing, South East Technological University, Waterford, Ireland

  29. Generalized Kalman filter based temporal difference reinforcement learning

    Jul 22, 2026Vasos Arnaoutis, Eric Lutters, Bojana RosićRL ControlReinforcement Learning

    Applied Mechanics and Data Analysis, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands · Department of Design, Production and Management, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands · Digital Engineering research group, Faculty of Mechanical and Industrial Engineering, Vienna University of Technology, Vienna, Austria

  30. Asymptotically Optimal Regret for Reinforcement Learning without Horizon Dependence

    Jul 22, 2026Runlong Zhou, Zihan Zhang, Maryam Fazel +1Regret Minimization in RLMarkov Decision Processes

    University of Washington. · Hong Kong University of Science and Technology. · §University of Washington. +1