Uncertainty Estimation in RL

RL: Reinforcement Learning

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30 papers5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Beyond Ensemble Disagreement: Predictive STL Monitoring of RL Locomotion under Distribution Shift

    Nov 1, 2026Qurban Ali, Badaruddin Chachar, Maqsood Ali +1Safe RLRobotic Policy Evaluation

    Sindh Madressatul Islam University, Karachi, Pakistan · Shah Abdul Latif University, Ghotki, Pakistan · University of Camerino, Camerino, Italy +2

  2. Active Reachability Learning for Humanoid Recoverability Monitoring

    Oct 23, 2026Zeyuan Feng, Baljeet Singh, Sarthak Ranjeet Kaingade +2Reachability AnalysisHumanoid Robot Fall Recovery

    Stanford University · Amazon

  3. SEVI: Safe Evidential Real-World Reinforcement Learning

    Oct 22, 2026Shaekh Mohammad Shithil, Lantao LiuSafe RLRobotic RL

    Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408 USA

  4. Bayesian Neural Networks via Dirichlet Process Priors on the Data-Generating Distribution for Randomized Value Functions in Deep Reinforcement Learning

    Oct 20, 2026Sumit VashishthaBayesian RLUncertainty Estimation in RL

    Independent Researcher

  5. Alliance of Stochastic Routing and Reinforcement Fusion for Multi-Model Reasoning

    Oct 16, 2026Selim Furkan Tekin, Ling LiuMultimodal Model RoutingAdaptive Model Routing

    Georgia Institute of Technology

  6. Deep Epistemic Value Functions for Optimistic Exploration

    Sep 28, 2026Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter +1Value Function EstimationRL Exploration

    ETH Zürich, Switzerland · Max Planck Institute for Intelligent Systems, Germany

  7. BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

    Aug 31, 2026Dongsheng Hou, Yanqiao Chen, Yuhan RuiReinforcement LearningConstrained RL

    Southern University of Science and Technology

  8. Uncertainty-Driven Replay Memory for Reinforcement Learning

    Aug 30, 2026Sheeraja Rajakrishnan, Alexander G. Ororbia, Travis Desell +1Reinforcement LearningUncertainty Estimation in RL

    Rochester Institute of Technology

  9. Toward Integrating Adaptive Experience Replay and Online Uncertainty Estimation in Safe Actor-Critic Optimal Control

    Aug 5, 2026Mahshad Rastegarmoghaddam, Davoud Nikkhouy, Shima SamadzadehControl Barrier FunctionsReinforcement Learning

    Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

  10. 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

  11. 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

  12. Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty Estimation

    Jul 21, 2026Li-Rong Zhou, Qin-Wen Luo, Sheng-Jun HuangReinforcement LearningOffline RL

    Nanjing University of Aeronautics and Astronautics, Nanjing, China

  13. Information-Based Exploration via Random Features for Reinforcement Learning

    Jul 20, 2026Waris Radji, Odalric-Ambrym MaillardRL ExplorationUncertainty-Aware Exploration

    Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189-CRIStAL, F-59000 Lille, France

  14. Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading

    Jul 3, 2026Lin Li, Li Rong Wang, Hsuan Fu +1Reinforcement LearningUncertainty Quantification

    Nanyang Technological University 50 Nanyang Avenue, Singapore · Nanyang Technological University Centre for Frontier AI Research, A*STAR 50 Nanyang Avenue, Singapore · Laval University Quebec, Canada

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

    Jun 17, 2026Mohamed Nabail, Leo Kaixuan Cheng, Jingmin Wang +1Preference-Based RLModel-Based RL

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

  16. A Unifying Lens on Reward Uncertainty in RLHF

    Jun 8, 2026Ely Hahami, Yoel Zimmermann, Ray Zhou +1Reward ModelingKL-Regularized RL

    Harvard College, Harvard University, Cambridge, MA, USA · John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA

  17. Exploring Agentic Tool-Calling Decisions via Uncertainty-Aligned Reinforcement Learning

    Jun 5, 2026Yijin Zhou, Linqian Zeng, Xiaoya Lu +4Reinforcement LearningLLM Uncertainty Estimation

    Shanghai Jiao Tong University, China · Shanghai Artificial Intelligence Laboratory, China · Shanghai Innovation Institute, China

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

    May 31, 2026Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele +2Robotic RLSafe RL

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

  19. Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning

    May 29, 2026Ha Manh Bui, Metod Jazbec, Eric Nalisnick +1Reinforcement LearningDiffusion Policy

    Department of Computer Science, Johns Hopkins University, Baltimore, MD, U.S.A. · AMLab, University of Amsterdam, Amsterdam, Netherlands

  20. UNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement Learning

    May 28, 2026Aditya UpadhyayConservative RLOffline RL

    IIIT Delhi

  21. Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking

    Apr 29, 2026Disha SinghaReward HackingReinforcement Learning

  22. 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

  23. Epistemic Robust Offline Reinforcement Learning

    Apr 8, 2026Abhilash Reddy Chenreddy, Erick DelageUncertainty Estimation in RLOffline RL

    GERAD, Department of Decision Sciences, HEC Montréal, Montréal, Québec H3T 2A7, Canada

  24. When to ASK: Uncertainty-Gated Language Assistance for Reinforcement Learning

    Apr 2, 2026Juarez Monteiro, Nathan Gavenski, Gianlucca Zuin +1Uncertainty Estimation in RLReinforcement Learning

    Kunumi Institute Belo Horizonte, MG, Brazil · King’s College London London, England, UK

  25. Online Statistical Inference of Constant Sample-averaged Q-Learning

    Mar 27, 2026Saunak Kumar Panda, Tong Li, Ruiqi Liu +1Reinforcement LearningQ-Learning

    Department of Industrial Engineering, University of Houston · Department of Mathematics and Statistics, Texas Tech University

  26. RE-SAC: Disentangling aleatoric and epistemic risks in bus fleet control: A stable and robust ensemble DRL approach

    Mar 19, 2026Yifan Zhang, Liang Zheng, Qifan ZhangUncertainty Estimation in RLReinforcement Learning

    Central South University

  27. Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning

    Feb 23, 2026Thanh Nguyen, Tung Luu, Tri Ton +2Uncertainty Estimation in RLOffline RL

    School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea · Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea

  28. GUARD: Sensitivity-aware Uncertainty Attribution for Safe Traditional and Learning-based Robot Control

    Sep 27, 2025Woo-Jeong Baek, Johannes A. Gaus, Jonas Kiemel +4Robotic ControlRobot Safety

    Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience, University of Tübingen, Germany. · Artificial Intelligence Institute (AIIS), Seoul National University, Republic of Korea. · School of Robotics, Kwangwoon University, Seoul, Republic of Korea. +1

  29. Risk-Aware Alignment Must Incorporate Reward Uncertainty

    Oct 31, 2024Debangshu Banerjee, Kintan Saha, Aditya GopalanPolicy OptimizationLLM Alignment

    Department of Electrical and Communication Engineering, Indian Institute of Science, India

  30. Statistical Inference for Policy Evaluation with Temporal Difference Learning

    Oct 21, 2024Weichen Wu, Gen Li, Yuting Wei +1Parameter EstimationConfidence Region Estimation

    The Voleon Group, New York, NY, USA · Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR. · Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. +1