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. RIWANav: Recursive World-Action Models with Self-Improvement for Urban Navigation

    Oct 6, 2026Jing Xie, Shouwei Ruan, Yubin Wang +4Robot Policy LearningWorld Model Learning

    MoE Key Lab of Artificial Intelligence, Institute of AI, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Beihang University, Beijing, China · The Hong Kong University of Science and Technology, Hong Kong, China +3

  2. Considering Context: When World Models Need Context Encoders

    Oct 5, 2026Oleg Smirnov, Sofiane Ennadir, John Pertoft +2Reinforcement LearningWorld Model Learning

    King AI Labs, Microsoft Gaming

  3. Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control

    Oct 5, 2026Shengtao Wen, Xiang Chen, Yu Tian +3World Model-Based PlanningAction-Conditioned World Models

    Nanjing University of Aeronautics and Astronautics, Nanjing, China · Tsinghua University, Beijing, China · Nanjing University, Nanjing, China

  4. Optimal Control with Learned Critics under Unmodeled State Dependencies

    Oct 4, 2026Philipp Schoch, Markus RyllResidual Dynamics LearningRobot Dynamics Learning

    Autonomous Aerial Systems Lab Technical University of Munich

  5. R2R^2-WAM: Repair-and-Reject Post-Training for World Action Models

    Oct 4, 2026Ruiyan Xu, Haisheng Su, Sixu Lin +4World Action ModelsAction-Conditioned World Models

    The Chinese University of Hong Kong, Shenzhen · Manifold AI · Southeast University +1

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

    Oct 1, 2026Yifan Zhang, Liang ZhengWorld Models for RoboticsWorld Models

    Central South University

  7. In CEM, a World Model Is Also a Proposal Mechanism

    Oct 1, 2026Oliver Obst, Frieder StolzenburgBlack-Box OptimizationModel-Based Planning

    UNSW Sydney · Harz University of Applied Sciences

  8. DashVMC: Real-Time Discrete World Model Control in Geometry Dash

    Sep 30, 2026Florent Tariolle, Florian YgerAction-Conditioned World ModelsModel-Based RL

    INSA Rouen Normandy

  9. Beyond Policy Alignment: Closing the Planning-Learning Loop for Robot Control with Learned World Models

    Sep 30, 2026Kowndinya Boyalakuntla, Yuhan Liu, Abdeslam BoulariasRobotic ControlWorld Models for Robotics

    Rutgers University

  10. Lucid Dreaming for World Models: Learning to Doubt Imagination and Decide by Trust

    Sep 29, 2026Ziqi Wen, Ting Xu, Lianyu Wang +5Uncertainty QuantificationWorld Model-Based Planning

    Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore · Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore · Bioengineering Program, Biomedical Sciences Division (BioMed), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia +3

  11. Model-Informed Safe Reinforcement Learning for Bipedal Locomotion via Step-to-Step Prediction

    Sep 28, 2026Victor Paredes, Ayonga HereidHumanoid Robot LocomotionControl Barrier Functions

    Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, USA.

  12. MA-JEPA: Joint-Embedding World Models for Multi-Agent Reinforcement Learning

    Sep 27, 2026Brandon Gary Kaplowitz, Osaze James Obahor, Christian Schroeder de WittGame-Playing AgentsWorld Model Learning

    Department of Engineering Science, University of Oxford

  13. Think Fast, Plan Selectively: Adaptive Deliberation for Efficient Data-Driven MPC

    Sep 26, 2026Yi Xian Goh, Sze Jue Yang, Hao LuanData-Driven ControlModel Predictive Control

    Independent Researcher · Faculty of Computer Science and Information Technology, Universiti Malaya · School of Computing, National University of Singapore

  14. Not All Errors Matter: Decision-Relevant Prediction Error Predicts Planning Quality

    Sep 26, 2026Linhao Wang, Yiyan Fan, Dongjin HuangWorld Model-Based PlanningModel-Based Planning

    Shanghai Film Academy, Shanghai University

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

    Sep 23, 2026Mikhail KiselevWorld ModelsSpiking Neural Networks

    Chuvash State University, Cheboxary, Russia

  16. Dual-Frontier: When Can an Agent Trust Its World Model?

    Sep 22, 2026Huatai Zhu, Qiang Chen, Ziqian Kou +5World Model-Based PlanningModel-Based Planning

    Central South University · The Hong Kong University of Science and Technology · Xiangjiang Laboratory +2

  17. Imagine-RL: Residual-Confidence-Guided Cross-Attention for World-Model-Augmented VLA Reinforcement Learning

    Sep 21, 2026Kejia Hu, Wentong Zhai, Bo Zhao +1Robotic ManipulationVision-Language-Action Models

    Department of Electric Engineering, Korea Advanced Institute of Science and Technology · University Of Science and Technology Beijing · Shanghai Jiao Tong University +1

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

    Sep 17, 2026Jonathan Hau, Alessandro AbateBayesian RLSafe RL

    Department of Computer Science, University of Oxford, United Kingdom

  19. A Convergence Framework for Deep VV-Learning: Error Propagation and Sharp Action-Gap Bounds

    Sep 16, 2026Yury KolomeytsevReinforcement LearningPolicy Learning

    Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University

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

    Sep 16, 2026Everest Yang, Skye Thompson, George D. KonidarisNon-Stationary RLContinual Robot Learning

    Brown University, Providence, RI, USA

  21. ProxiDex: Learning Dynamics-Guided Proximity Policy for Dexterous Manipulation

    Sep 15, 2026Yushan Bai, Boyu Zheng, Zhiyang Mao +4Robot Policy LearningContact-Rich Robotic Manipulation

    CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences · School of Intelligent Science and Technology, Xinjiang University +1

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

    Sep 12, 2026Andreas Schwung, Steve Yuwono, Sofiene Lassoued +1ManufacturingRL Control

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

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

    Sep 11, 2026Anqi Peter Li, Kaden KimCounterfactual EvaluationWorld Model Learning

    Substrate Labs · UC Berkeley

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

    Sep 10, 2026Fernando Palafox, David Fridovich-KeilTest-Time AdaptationWorld Model Learning

    University of Texas at Austin Austin, TX, USA

  25. Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead

    Sep 10, 2026Corentin Pla, Hugo Richard, Marc Abeille +1Reinforcement LearningApproximation Algorithms

    CREST, ENSAE · Criteo AI Lab FairPlay Joint Team

  26. HaWMPO: Hallucination-Aware World Model-based Policy Optimization for Generalist Robot Policy

    Sep 9, 2026Zengjue Chen, Peidong Liu, Jiawei Li +1Robot Policy LearningWorld Models

    Joy Future Academy, JD · School of Artificial Intelligence, Jilin University

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

    Sep 8, 2026Pietro Noah Crestaz, Mohamed Yassine Kabouri, Nicolas Mansard +1RL for RoboticsReinforcement Learning

    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

  28. World-Model-Augmented Visual Locomotion for Humanoids on Foothold-Constrained Terrain

    Sep 2, 2026Yuxi Liu, Lijun Han, Ziming Wang +3Humanoid Robot LocomotionTerrain-Aware Robot Locomotion

    1D-Robotics · 2Beijing University of Posts and Telecommunications · 3Harbin Institute of Technology +1

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

    Sep 1, 2026Tomáš Holeček, Viliam LisýImperfect-Information GamesZero-Sum Games

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

  30. Reinforced Planning with Latent World Models

    Aug 19, 2026Armin Sommer, Jannik SchillingWorld Model-Based PlanningRobotic RL

    Pantheon Industries

  31. Scaling Automatic Research Agents via World Models

    Aug 12, 2026Xiyuan Yang, Sheikh Sarwar, Jingru Cheng +8World Model LearningRL Post-Training

    University of Illinois Urbana-Champaign · Amazon

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

    Aug 11, 2026Jordan Coblin, Han Wang, Martha White +1RL ControlOffline RL

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

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

    Aug 11, 2026Zefeng Liang, Jie Qiao, Ruichu Cai +2Reinforcement LearningRobust RL

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

  34. Dreamer-SAC: Off-Policy Learning in Latent World Models for Sample-Efficient Autonomous Driving

    Aug 11, 2026Jiazhuo Li, Linjiang Cao, Qi Liu +1World Models for Autonomous DrivingRL for Autonomous Driving

    Tongji University

  35. LUCID: Latent-Skill Unified Control via Imagined Dynamics for Long-Horizon Humanoid Loco-Manipulation

    Aug 7, 2026Cheng Guo, Mingzhe Ni, Angelo Cangelosi +1Humanoid Loco-ManipulationLatent Action Learning

    Department of Computer Science, University of Manchester, Manchester, UK · Human-Robot Interfaces and Interaction Laboratory, Italian Institute of Technology, Genoa, Italy

  36. Dueling World Models: Advantage-Style Action Channels for Common-Mode Distractor Rejection

    Aug 7, 2026Jiazhuo Li, Yiming Fei, Zhiruo Zhou +1Action-Conditioned World ModelsLatent World Models

    University of Michigan, Ann Arbor, MI, USA · Zhejiang University, Hangzhou, China · Wuhan University of Technology, Wuhan, China +1

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

    Aug 4, 2026Ashwin Gupta, Joseph MooreTrajectory OptimizationStochastic Optimal Control

    Johns Hopkins University Whiting School of Engineering

  38. Analytic Planning under Uncertainty with Moment Closure

    Aug 3, 2026Shishir Sharma, Doina PrecupDecision-Making under UncertaintyModel-Based RL

    1McGill University, Montreal, Canada · 2Mila – Quebec Artificial Intelligence Institute, Montreal, Canada

  39. Climate-Dyna Deep Hedging for XVAs: Model-Based Reinforcement Learning, Residual Climate HVA, and Hedge-Instrument Discovery

    Aug 2, 2026Xiaozhen Wang, Francois Buet-GolfouseQuantitative FinanceResidual Policy Learning

    CEREMADE Université Paris Dauphine–PSL, France · AIML Global Markets Barclays, United Kingdom

  40. DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search

    Jul 31, 2026Jiayang Niu, Yan Wang, Jie Li +4World ModelsQuantum RL

    School of Computing Technologies, RMIT University · Quantum Systems, Data61, CSIRO · RMIT University

  41. Sample Efficient Hierarchical Reinforcement Learning via Best Policy Identification

    Jul 31, 2026Anders Jonsson, Emilie Kaufmann, Gianmarco Tedeschi +1Hierarchical RLPolicy Learning

    Department of Engineering Universitat Pompeu Fabra · Univ. Lille, CNRS, Inria Centrale Lille, UMR 9189-CRIStAL · Dept. Electronics, Information, and Bioengineering Politecnico di Milano

  42. QQWorld: Quantile-Quantile Matching for World Model Regularization

    Jul 30, 2026Zhoushun Yu, Xiaoyu Hu, Xiangyu XuWorld Model LearningWorld Model-Based Planning

    Xi’an Jiaotong University

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

    Jul 28, 2026Jasorsi GhoshCausal Representation LearningCausal World Models

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

  44. 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

  45. Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning

    Jul 22, 2026Taisuke Takayama, Naoto Yoshida, Tadahiro TaniguchiPredictive CodingPartially Observable RL

    Graduate School of Informatics, Kyoto University, Kyoto, Japan · Research Organization of Science and Technology, Ritsumeikan University, Shiga, Japan

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

    Jul 22, 2026Gurp NijjerGenerative ReplayReinforcement Learning

    Quantegra Research, Canada

  47. Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination

    Jul 22, 2026Jiaqi Li, Xinglong Zhang, Haibin Xie +3Koopman Operator LearningLatent Dynamics Modeling

    College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China

  48. Reinforcement Learning: From Algorithms To Foundation Models

    Jul 20, 2026Zihan DingReinforcement LearningRL for Video Generation

    Department of Electrical Computer Engineering, Princeton University

  49. Enhancing Personalized Bladder Cancer Treatment Through Reinforcement Learning: A Recurrent Patient State Transition Decision Support Framework

    Jul 18, 2026Divyansh Chawla, Anshu Garg, Isshaan SinghReinforcement LearningHealthcare

    School of Computer Science and Engineering, Vellore Institute of Technology, Chennai-600 0127, Tamil Nadu, INDIA

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

    Jul 18, 2026Zhaohui WangRisk-Sensitive RLModel Predictive Control

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

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

    Jul 17, 2026Hao Zhou, Yanze Zhang, Cameron Reid +1Safe RLModel-Based RL

    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

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

    Jul 16, 2026Yukuan Lu, Zaishuo Xia, Weyl Lu +1Game-Playing AgentsWorld Model Learning

    UC Davis

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

    Jul 15, 2026Logan Mondal Bhamidipaty, Mykel Kochenderfer, Subramanian RamamoorthyWorld Model LearningOffline RL

    University of Edinburgh · 2Stanford University

  54. Learning Safe Agent Behaviour from Human Preferences and Justifications via World Models

    Jul 14, 2026Ilias Kazantzidis, Timothy J. Norman, Yali Du +1Safe RLReward Design for RL

    University of Southampton, Southampton SO17 1BJ, United Kingdom · King’s College London, London WC2R 2LS, United Kingdom

  55. Shortcut Trajectory Planning for Efficient Offline Reinforcement Learning

    Jul 10, 2026Guanquan Wang, Yoshimasa TsuruokaTrajectory GenerationOffline RL

    Department of Information and Communication Engineering · The University of Tokyo

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

    Jul 5, 2026Donna VakalisWorld Model-Based PlanningLatent World Models

    1Mila – Quebec AI Institute · 2Université de Montréal

  57. Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling

    Jul 5, 2026Fan Feng, Yujia Zheng, Minghao Fu +5World Model LearningWorld Models

    1UCSD · 2MBZUAI · 3CMU +1

  58. 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 SmolyanskiyReinforcement LearningLatent World Models

  59. Solving Markov Decision Processes with Future Information via MPC

    Jun 23, 2026Shambhuraj Sawant, Akhil S Anand, Dirk Reinhardt +1RL ControlMarkov Decision Processes

    Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

  60. Inverting the Bellman Equation: From QQ-Values to World Models

    Jun 19, 2026Alistair Letcher, Mattie Fellows, Alexander D. Goldie +3Reinforcement LearningModel-Free RL

    FLAIR, University of Oxford · Google DeepMind · Mila, University of Montreal