Model-Based RL

RL: Reinforcement Learning

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24 papers in the last four weeks, up 243% on the four weeks before. 0.2% of all new papers.

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  1. Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty

    Apr 28, 2026Artur Eisele, Bernd Frauenknecht, Friedrich Solowjow +1Robot SafetySafety Filtering

    Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany

  2. Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Space Models

    Apr 28, 2026Julia Berger, Bernd Frauenknecht, Sebastian Trimpe +1Uncertainty QuantificationLatent Dynamics Modeling

    1RWTH Aachen University

  3. Thoughts-as-Planning: Latent World Models for Chain-of-Thoughts Optimization via Reinforcement Planning

    Apr 27, 2026Dong Liu, Yanxuan Yu, Ying Nian WuCoT ReasoningLarge Language Model-Guided Optimization

    University of California, Los Angeles · Columbia University

  4. CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning

    Apr 26, 2026Rahul Narava, Siddharth Verma, Ojas Jain +2Control Barrier FunctionsConstrained RL

    Indian Institute of Technology Ropar · CRAN, Université de Lorraine

  5. Toward Safe Autonomous Robotic Endovascular Interventions using World Models

    Apr 22, 2026Harry Robertshaw, Nikola Fischer, Han-Ru Wu +6World Models for RoboticsRobotic Endovascular Intervention

    Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, UK · Department of Radiology, National Taiwan University Hospital, Taiwan · Department of Neuroradiology, King’s College Hospital, UK

  6. Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

    Apr 21, 2026Wenjian Hao, Yuxuan Fang, Zehui Lu +1Robotic ControlReinforcement Learning

    School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN 47907, USA · independent researcher

  7. CSLE: A Reinforcement Learning Platform for Autonomous Security Management

    Apr 16, 2026Kim HammarReinforcement LearningAutonomous Cyber Defense

    Division of Network and Systems Engineering, KTH Royal Institute of Technology, Sweden

  8. Learning Ad Hoc Network Dynamics via Graph-Structured World Models

    Apr 16, 2026Can Karacelebi, Yusuf Talha Sahin, Elif Surer +1World Model LearningWorld Models

    Department of Computer Engineering, Middle East Technical University, Ankara, Turkiye · Türk Telekom, Ankara, Turkiye · Graduate School of Informatics, Middle East Technical University, Ankara, Turkiye

  9. Model-Based Reinforcement Learning Exploits Passive Body Dynamics for High-Performance Biped Robot Locomotion

    Apr 16, 2026Tomoya Kamimura, Haruka Washiyama, Akihito SanoRobot LocomotionRL for Legged Locomotion

    Department of Mechanical Science and Bioengineering, Graduate School of Engineering and Science, The University of Osaka, Toyonaka, Japan. · Department of ElectricalTechnology,and MechanicalAichi,Engineering,Japan. Nagoya Institute of

  10. WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL

    Feb 15, 2026Zhennan Jiang, Shangqing Zhou, Yutong Jiang +11World Models for RoboticsWorld Models

    University of Chinese Academy of Sciences · Institute of Automation, Chinese Academy of Sciences · Zhongguancun Academy +2

  11. Meta-RL with Bayesian Linear Task Models

    Dec 24, 2025Jingyang You, Hanna KurniawatiRepresentation LearningReinforcement Learning

    School of Computing Australian National University

  12. Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes

    Dec 17, 2025Hanqing Jin, Renyuan Xu, Yanzhao YangRL ControlReinforcement Learning

    Mathematical Institute, University of Oxford · Department of Management Science and Engineering, Stanford University

  13. Why Do LLM Agents Fail in Exploring New Environments? A World-Modeling Perspective

    Oct 16, 2025Shiqi Chen, Tongyao Zhu, Zian Wang +8RL ExplorationPolicy Learning

    City University of Hong Kong · National University of Singapore · The Hong Kong Polytechnic University +5

  14. Quantum Bayesian Networks Can Speed up Reinforcement Learning in Partially Observable Environments

    Jul 24, 2025Gilberto Cunha, Alexandra Ramôa, André Sequeira +2Partially Observable RLBayesian RL

    High-Assurance Software Laboratory (HASLab), INESC TEC, Portugal · Department of Computer Science, University of Minho, Portugal · International Iberian Nanotechnology Laboratory (INL), Portugal

  15. Fully Offline Reinforcement Learning

    May 28, 2025Mattie Fellows, Clarisse Wibault, Uljad Berdica +3Bayesian RLOffline RL

    Foerster Lab for AI Research (FLAIR), Department of Engineering Science, University of Oxford · Machine Learning Research Group, Department of Engineering Science, University of Oxford

  16. Meta-reinforcement learning with minimum attention

    May 22, 2025Shashank Gupta, Pilhwa LeeMeta-Reinforcement LearningPolicy Learning

    Department of EECS University of Michigan Ann Arbor, MI 48109 · Department of Mathematics Morgan State University Baltimore, MD 21251

  17. A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics

    Apr 2, 2025Qihao Ye, Xiaochuan Tian, Yuhua ZhuReinforcement LearningValue Function Estimation

  18. Safe Learning Control with Optimality and Stability Guarantees

    Jan 26, 2025Xinyang Wang, Hongwei Zhang, Shimin Wang +2Control Barrier FunctionsRobust Control

    Shenzhen Key Lab for Advanced Motion Control and Modern Automation Equipments, School of Intelligence Science and Engineering, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China · School of Data Science, Lingnan University, Hong Kong · School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, with M3S, SMART, and with MIT CSAIL +1

  19. ProSpec RL: Plan Ahead, then Execute

    Jul 31, 2024Liangliang Liu, Yi Guan, BoRan Wang +5Reinforcement LearningRisk-Sensitive RL

    1The Faculty of Computing, Harbin Institute of Technology, Harbin, China · 2The Artificial Intelligence Institute, Harbin Institute of Technology, ShenZhen, China · 3The Artificial Intelligence Institute, Harbin Institute of Technology, Harbin, China

  20. Ego-Dynamics-Augmented World Model for Autonomous Driving with Zero-Shot Cross-Embodiment Adaptation

    Date pendingZhidong Wang, Jingsong Liang, Zirui Li +3World Model LearningEnd-to-End Autonomous Driving

    School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore · Collaborative Initiative, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore · College of Computing and Data Science, Nanyang Technological University, Singapore

  21. Motus2: A Self-Evolving General World Model for Dexterous Manipulation

    Date pendingHongzhe Bi, Zihao Zhou, Yihang Tang +16World Models for RoboticsAction-Conditioned World Models

    GensPI · Tsinghua University

  22. Compact Visuotactile World Models for Lifting: Prediction, Reward Alignment, and Force Constraints

    Date pendingQinzhen Ma (Rice University)Robot Skill LearningWorld Models for Robotics

    Rice University, USA