Model-Based Reinforcement Learning

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16 papers in the last four weeks, up 220% on the four weeks before. 0.2% of all new papers.

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  1. Calibration-risk routing for controlled world-model adaptation

    Oct 1, 2026Yifan Zhang, Liang ZhengModel-Based Reinforcement LearningWorld Models

    Central South University

  2. Completion-Aware Cross-Fidelity Offline-to-Online Reinforcement Learning for Multi-Line Bus Holding

    Sep 30, 2026Yifan Zhang, Qifan Zhang, Liang ZhengModel-Based Reinforcement Learning

    Central South University, Changsha, Hunan, China

  3. In-Distribution Imagination for Model-Based Offline Reinforcement Learning

    Sep 29, 2026Mintae Kim, Koushil SreenathModel-Based Reinforcement LearningImagination

    Hybrid Robotics, BAIR, UC Berkeley

  4. Q-learning Penalized Transformer for Safe Offline Reinforcement Learning

    Sep 28, 2026Shengchao Hu, Peng Wang, Jifeng Hu +5Model-Based Reinforcement LearningQ-Learning

    Shanghai Jiao Tong University, China · Shenzhen Campus of Sun Yat-sen University, China · Jilin University, China +1

  5. Spiking Neural Network Predicting Sequence of the External Worlds States in Model-Based Reinforcement Learning

    Sep 23, 2026Mikhail KiselevSpiking Neural NetworksNext-State Prediction

    Chuvash State University, Cheboxary, Russia

  6. Lifted Bellman Linear Programming for Offline Reinforcement Learning

    Sep 21, 2026Hyukjun Yang, Jongchan Park, Narim Jeong +1Model-Based Reinforcement LearningOffline Reinforcement Learning

    Korea Advanced Institute of Science and Technology(KAIST) · NAVER LABS

  7. Efficient Bayes-Adaptive Reinforcement Learning with Temporal Logic Specifications

    Sep 17, 2026Jonathan Hau, Alessandro AbateLinear Temporal LogicsModel-Based Reinforcement Learning

    Department of Computer Science, University of Oxford, United Kingdom

  8. Model-based Bootstrap for Offline Policy Evaluation in Tabular Reinforcement Learning

    Sep 17, 2026Weiwei Wang, Yuqiang Li, Xianyi Wu +1Model-Based Reinforcement LearningModel-Based Bootstrap

    Department of Statistics and Data Science, Southern University of Science and Technology · School of Statistics & KLATASDS-MOE, East China Normal University · School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen +1

  9. Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning

    Sep 16, 2026Everest Yang, Skye Thompson, George D. KonidarisModel-Based Reinforcement LearningOffline Reinforcement Learning

    Brown University, Providence, RI, USA

  10. Autonomous Droplet Navigation via Model-Based Reinforcement Learning

    Sep 14, 2026Rajneesh Anand, Mayuresh V. KothareFluid ControlsModel-Based Reinforcement Learning

    Department of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA 18015, USA.

  11. Certified Safety Curation: Distribution-Free Guarantees for Safe Offline Reinforcement Learning

    Sep 14, 2026Adam Haroon, Cody FlemingModel-Based Reinforcement LearningSafety Claims

    Iowa State University Ames, IA, USA

  12. Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models

    Sep 12, 2026Andreas Schwung, Steve Yuwono, Sofiene Lassoued +1Model-Based Reinforcement LearningManufacturing

    South Westphalia University of Applied Sciences, Soest 59494, Germany · Hochschule Düsseldorf University of Applied Sciences, Düsseldorf 40476, Germany

  13. Measuring the Value of World-Model Updates: A Counterfactual Utility Protocol for Continual Adaptation

    Sep 11, 2026Anqi Peter Li, Kaden KimCounterfactual LearningWorld Models

    Substrate Labs · UC Berkeley

  14. Amortized Low-Rank Adaptation for Model-Based Reinforcement Learning

    Sep 10, 2026Fernando Palafox, David Fridovich-KeilModel-Based Reinforcement LearningIn-Context Learning

    University of Texas at Austin Austin, TX, USA

  15. CAST: Alternating State-Value Targets and Expanded Policy Gradients for Model-Based Reinforcement Learning

    Sep 8, 2026Pietro Noah Crestaz, Mohamed Yassine Kabouri, Nicolas Mansard +1Model-Based Reinforcement LearningPolicy Gradient

    1Industrial Engineering Department, University of Trento, Trento, Italy. · 2LAAS-CNRS, Universit´e de Toulouse, CNRS, Toulouse, France. · 4Artificial and Natural Intelligence Toulouse Institute (ANITI), Toulouse. +1

  16. Routing Dense Layouts with History-Aware Offline Reinforcement Learning using LSTM

    Sep 8, 2026Afsara Khan, Austin RovinskiModel-Based Reinforcement LearningDense

    New York University Brooklyn, New York, USA

  17. NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information Games

    Sep 1, 2026Tomáš Holeček, Viliam LisýImperfect-Information GamesModel-Based Reinforcement Learning

    Artificial Intelligence Center, Department of Computer Science Faculty of Electrical Engineering, Czech Technical University in Prague

  18. Redistribution-based Cost Inference Improves Sparse Safe Offline RL

    Aug 12, 2026Ebenezer Gelo, Geraud Nangue Tasse, Steven James +1Model-Based Reinforcement LearningTrajectory-Level Credit

    University of the Witwatersrand · University of the Witwatersrand Johannesburg, South Africa

  19. Unmasking Toxic Mimicry in Medical Offline Reinforcement Learning for ICU Sepsis Management via Counterfactual Clinical Audits

    Aug 11, 2026Hangqi Ren, Junyi LiaoSepsisMimic-Iv Datasets

    School of Engineering, Vanderbilt University, Nashville, TN, USA · Pratt School of Engineering, Duke University, Durham, NC, USA

  20. Dynamics Models for Offline Hyperparameter Selection in Real-World RL

    Aug 11, 2026Jordan Coblin, Han Wang, Martha White +1Model-Based Reinforcement LearningHyperparameter

    University of Alberta · Alberta Machine Intelligence Institute (Amii) · Canada CIFAR AI Chair at Amii

  21. IADD-TR: Intervention-Aware Dynamics Decoupling with Targeted Regularization for Model-Based Reinforcement Learning

    Aug 11, 2026Zefeng Liang, Jie Qiao, Ruichu Cai +2Model-Based Reinforcement LearningRegularization

    School of Computer Science, Guangdong University of Technology, Guangzhou, China · College of Science, Shantou University, Shantou, China

  22. CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning

    Aug 7, 2026Ibne Farabi Shihab, Sanjeda Akter, Abu Sa-Adat Mohamed Moon-Im Al Ahsan +2Model-Based Reinforcement LearningOffline Reinforcement Learning

    Department of Computer Science, Iowa State University · Department of Computer Science & Engineering, BRAC University · Department of Civil, Construction & Environmental Engineering, Iowa State University

  23. Stochastic Multiple Shooting Trajectory Optimization via Sequential Local Policy Evaluation

    Aug 4, 2026Ashwin Gupta, Joseph MooreRobust TrajectoryModel Predictive Path Integral

    Johns Hopkins University Whiting School of Engineering

  24. ReBRAC-v2: The Return of the King

    Aug 2, 2026Denis Tarasov, Robert K. KatzschmannModel-Based Reinforcement LearningSoft Actor-Critic

    Soft Robotics Lab, D-MAVT ETH Zurich, Switzerland

  25. RedFlow: Redirect Failure into Action-level Corrections for Flow-matching VLA Policy

    Jul 30, 2026Zhengyang Yan, Junhao Li, Fangqi Zhu +6Flow-Matching Vision-Language-ActionFlow Policies

    The Hong Kong University of Science and Technology

  26. Learning Implicit Causal World Models from Multi-Agent Demonstrations

    Jul 28, 2026Jasorsi GhoshEfficient World-Action ModelModel-Based Reinforcement Learning

    Department of Computer Science Purdue University West Lafayette, Indiana, USA

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

    Jul 28, 2026Zheshun Wu, Renjie Zheng, Jinhang Zuo +2Model-Based Reinforcement LearningMarkov Decision Processes

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

  28. Online Policy Evaluation for MDPs with Dynamic UBSR Measures

    Jul 25, 2026Weikai Wang, Erick DelageConditional-Value-At-RiskMarkov Decision Processes

    GERAD & Department of Decision Sciences, HEC Montr´eal, Canada

  29. Expert Behavior Prior Reinforcement Learning

    Jul 23, 2026Gong Gao, Weidong Zhao, Xianhui Liu +1Model-Based Reinforcement LearningOffline Reinforcement Learning

    School of Computer Science, Tongji University, China

  30. The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL

    Jul 22, 2026Gurp NijjerModel-Based Reinforcement LearningLatent World Models

    Quantegra Research, Canada

  31. Learning from World Feedback: Why Model Uncertainty Fails as a Risk Signal in Model-Based RL

    Jul 18, 2026Zhaohui WangModel-Based Reinforcement LearningProbabilistic Safety

    Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.

  32. Certifiable Safe Model-Based Reinforcement Learning with Control-Affine Dynamics Approximation

    Jul 17, 2026Hao Zhou, Yanze Zhang, Cameron Reid +1Model-Based Reinforcement LearningScalable Robot Learning

    Department of Computer Science, University of Illinois Chicago, Chicago, IL 60607, USA · Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843, USA

  33. Concept-Guided Spatial Regularization for World Models in Atari Pong

    Jul 16, 2026Yukuan Lu, Zaishuo Xia, Weyl Lu +1World ModelsModel-Based Reinforcement Learning

    UC Davis

  34. Evaluating covariate balance for long time horizon Markov decision processes

    Jul 16, 2026Joshua Spear, Rebecca Pope, Neil J SebireCovariate BalancingModel-Based Reinforcement Learning

    UCL GOS Institute of Child Health · NIHR GOSH UCL BRC

  35. RENEW: Towards Learning World Models and Repairing Model Exploitation from Preferences

    Jul 15, 2026Logan Mondal Bhamidipaty, Mykel Kochenderfer, Subramanian RamamoorthyModel-Based Reinforcement LearningReinforcement Learning From Human Feedback

    University of Edinburgh · 2Stanford University

  36. Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning

    Jul 10, 2026Wenke Xia, Pei Ren, Wenbo Yu +10Model-Based Reinforcement LearningValue Functions

    1Gaoling School of Artificial Intelligence, Renmin University of China · 2Beijing Innovation Center of Humanoid Robotics · 3Beijing Forestry University +4

  37. Shortcut Trajectory Planning for Efficient Offline Reinforcement Learning

    Jul 10, 2026Guanquan Wang, Yoshimasa TsuruokaDiffusion PlanningModel-Based Reinforcement Learning

    Department of Information and Communication Engineering · The University of Tokyo

  38. A Definition and Roadmap for World Models

    Jul 7, 2026Xinyuan Chen, Haoyu Guo, Shi Guo +10World ModelsRoadmap

    Shanghai Artificial Intelligence Laboratory

  39. Operator-on-F complements value-equivalence: a planning-time diagnostic for latent world models

    Jul 5, 2026Donna VakalisPrediction ErrorLatent World Models

    1Mila – Quebec AI Institute · 2Université de Montréal

  40. CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning

    Jul 4, 2026Jiayi Guan, Tianle Zhang, Li Shen +8Model-Based Reinforcement LearningDiffusion Models

    Tongji University, Shanghai, China · JD Explore Academy, Beijing, China · School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China +2

  41. Generalization in offline RL: The structure is more important than the amount of pessimism

    Jul 2, 2026Max Weltevrede, Matthijs T. J. Spaan, Wendelin BöhmerPessimismModel-Based Reinforcement Learning

    Delft University of Technology, Delft, The Netherlands

  42. Predicting Closed-Loop Performance of Latent World Models: Offline Checkpoint Selection for MPC and Model-Based RL Under Non-Markovian Rewards in LunarLander

    Jul 2, 2026Nikolai SmolyanskiyLatent World ModelsModel-Based Reinforcement Learning

  43. LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields

    Jun 30, 2026Felipe Tommaselli, Francisco Affonso, Arthur Pompeu +4Agricultural RoboticsLow-Latency Latent Planning

    Mobile Robotics Group, Center for Robotics (CRob), São Carlos School of Engineering (EESC), University of São Paulo, São Carlos, SP, Brazil · DASLab, Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, IL, USA

  44. Exploration and Online Transfer with Behavioral Foundation Models

    Jun 29, 2026Louis Bagot, Mathieu Lefort, Laëtitia MatignonModel-Based Reinforcement LearningBehavioral Foundation Models

    SyCoSMA · Université Lyon 1, CNRS, INSA Lyon LIRIS - UMR5205, 69622 Villeurbanne, France · LIRIS, SyCoSMA, IRISA, MALT, UR +1

  45. RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance

    Jun 26, 2026Shiqiang GongDiffusion-Based Reinforcement Learning MethodsModel-Based Reinforcement Learning

    Northwestern Polytechnical University

  46. VOiLA: Vectorized Online Planning with Learned Diffusion Models for POMDP Agents

    Jun 18, 2026Marcus Hoerger, Rishikesh Joshi, Rahul Shome +2Partially Observable Markov Decision ProcessDiffusion Planning

    Australian National University, Canberra, ACT, Australia · The University of Sydney, Sydney, NSW, Australia

  47. UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning

    Jun 17, 2026Mohamed Nabail, Leo Kaixuan Cheng, Jingmin Wang +1Model-Based Reinforcement LearningPlanning

    Learning, Embodied Autonomy, and Forecasting (LEAF) Lab, University of Toronto

  48. When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?

    Jun 16, 2026Xuanfei Ren, Tengyang XieModel-Based Reinforcement LearningOffline Reinforcement Learning

    University of Wisconsin-Madison · Madison, WI

  49. Reversal Q-Learning

    Jun 16, 2026Aditya Oberai, Seohong Park, Sergey LevineFlow PoliciesModel-Based Reinforcement Learning

    University of California, Berkeley.

  50. BRICKS-WM: Building Reusability via Interface Composition Kinetics for Structured World Models

    Jun 15, 2026Shaowei Zhang, Jiahan Cao, Xunlan Zhou +2World ModelsModel-Based Reinforcement Learning

    1National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · School of Intelligence Science and Technology, Nanjing University, China

  51. Individual Control Barrier Functions-Guided Diffusion Model for Safe Offline Multi-Agent Reinforcement Learning

    Jun 10, 2026Qingyun Guo, Junyi Shi, Jianuo Huang +1Multi-Agent Reinforcement LearningModel-Based Reinforcement Learning

    Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland · School of Computing and Data Science, Xiamen University Malaysia, Sepang, Malaysia · Department of Computer Science, University of Toronto, Toronto, Canada

  52. Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning

    Jun 9, 2026Thanh Nguyen, Tri Ton, Hongbin Choe +2Diffusion-Based Reinforcement Learning MethodsFlow Policies

    Department of Electrical Engineering, KAIST, Daejeon, Korea.

  53. Safe-RULE: Safe Reinforcement UnLEarning

    Jun 8, 2026Shixiong Jiang, Taozheng Zhu, Fanxin KongModel-Based Reinforcement LearningUnsafe

    Department of Computer Science and Engineering, University of Notre Dame

  54. Counterfactual Transport Flows for Offline Conservative Trajectory Refinement

    Jun 8, 2026Lena Krieger, Xuan Zhao, Zhuo Cao +3Model-Based Reinforcement LearningLong Refinement Trajectories

    1IAS-8, Forschungszentrum J ulich, Germany · 2LMU Munich, Munich Center for Machine Learning (MCML), Germany · Department of Computer Science, Aarhus University, Denmark.

  55. Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

    Jun 4, 2026Johan Obando-Ceron, Lu Li, Scott Fujimoto +3Multi-Turn Reinforcement LearningModel-Based Reinforcement Learning

    Mila – Québec AI Institute · Université de Montréal · McGill University +2

  56. Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces

    Jun 3, 2026Nicolás Astorga, Nabeel Seedat, Mihaela van der SchaarLLM Reasoning StrategiesPrompt Optimization

    University of Cambridge

  57. Post-Hoc Robustness for Model-Based Reinforcement Learning

    Jun 2, 2026Siemen Herremans, Ali Anwar, Siegfried MercelisModel-Based Reinforcement LearningOffline Reinforcement Learning

    1IDLab - University of Antwerp, imec

  58. All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning

    May 31, 2026Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele +2Model-Based Reinforcement LearningScalable Robot Learning

    Institute for Data Science in Mechanical Engineering, RWTH Aachen University, 52062 Aachen, Germany

  59. From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning

    May 31, 2026Jun-Jie Yang, Chia-Heng Hsu, Kui-Yuan Chen +1Reinforcement Learning From Human FeedbackModel-Based Reinforcement Learning

    Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

  60. Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning

    May 30, 2026Fuyuan Qian, Menglong Zhang, Song Wang +1Model-Based Reinforcement LearningRepresentation Learning

    Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China · AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China · Omni-Intelligence, Shenzhen, Guangdong, China +1