Distributionally Robust RL

RL: Reinforcement Learning

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3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. RSD-Poker: Structure-Adaptive and Shift-Robust Risk-Utility Certification for Residual Policies in Imperfect-Information Games

    Sep 27, 2026Miaobo Hu, Shuhao Hu, Xiaobo Guo +5Distribution Shift RobustnessImperfect-Information Games

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

  2. Statistical Convergence of Transformer Encoder-Accelerated Robust Reinforcement Learning

    Sep 20, 2026Suman Banerjee, Hiroyasu TsukamotoReinforcement LearningTransformer-Based RL

    Department of Aerospace Engineering, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA

  3. Online Robust Reinforcement Learning Through Monte-Carlo Planning

    Sep 16, 2026Tuan Dam, Kishan Panaganti, Brahim Driss +1Monte Carlo Tree SearchDistributionally Robust RL

    Hanoi University of Science and Technology, Hanoi, Vietnam · Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA · Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189-CRIStAL

  4. Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions

    Aug 6, 2026Yuepeng Yang, Yuxin Chen, Yuejie ChiRobust Markov Decision ProcessesAverage-Reward RL

    *Department of Statistics and Data Science, Yale University. · †Department of Statistics and Data Science, the Wharton School, University of Pennsylvania.

  5. Entropy Regularization Improves Policy Robustness in Continuous-Time Reinforcement Learning

    Jul 3, 2026Jialun Cao, Fernando Acero, David Šiška +1Robust Markov Decision ProcessesMaximum Entropy RL

    School of Mathematics, University of Edinburgh, United Kingdom. · J.P. Morgan AI Research, United Kingdom. · Department of Mathematics, Imperial College London, United Kingdom.

  6. Stationary Robust Mean-Field Games under Model Mismatches

    Jun 21, 2026Yue WangMean Field GamesGame Theory

    Department of Electrical and Computer Engineering University of Central Florida Orlando, Florida, USA

  7. Robust QQ-learning for mean-field control under Wasserstein uncertainty in common noise

    Jun 18, 2026Mathieu Laurière, Ariel Neufeld, Kyunghyun ParkQ-LearningWasserstein Distributionally Robust Optimization

    NYU Shanghai HPC · MOE AcRF Tier 1 Grant RG109/25 · National Research Foundation of Korea

  8. 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

  9. Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling

    May 14, 2026Nicholas E. Corrado, Wenyuan Huang, Josiah P. HannaDistributionally Robust RLMulti-Task RL

    Computer Sciences Department · University of Wisconsin – Madison

  10. Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL

    May 8, 2026Shengbo Wang, Zexi ZhangStochastic ApproximationDistributionally Robust RL

    Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California

  11. Quantile Geometry Regularization for Distributional Reinforcement Learning

    May 5, 2026Zhaofan Zhang, Minghao Yang, Rufeng Chen +2Distributional RLQuantile Regression

    Information Hub, AI Thrust Hong Kong University of Science and Technology (Guangzhou) Guangzhou, Guangdong, China

  12. Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation

    May 4, 2026Jingchu Gai, Laixi ShiMulti-Agent System OptimizationMarkov Models

    Machine Learning Department, Carnegie Mellon University. · Department of Electrical and Computer Engineering, Johns Hopkins University, MD 21286, USA.

  13. Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback

    Apr 30, 2026Yikai Wang, Shang Liu, Jose BlanchetRegret Minimization in RLReinforcement Learning

    Department of Statistics and Operations Research, University of North Carolina · Imperial Business School, Imperial College London · Department of Management Science and Engineering, Stanford University

  14. A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch

    Apr 28, 2026An Nguyen, Hoang Nguyen, Phuong Le +3Electric Vehicle ChargingConstrained RL

    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · Center for Environmental Intelligence, VinUniversity, Hanoi, Vietnam

  15. Finite-Time Convergence of Single-Trajectory Chi-Square Robust Q-Learning With Linear Function Approximation

    Oct 2, 2025Saptarshi Mandal, Yashaswini Murthy, R. SrikantQ-LearningDistributionally Robust RL

    ECE, UIUC · ORIE, UT Austin · ECE, CSL, and the director of NCSA at UIUC

  16. Distributionally Robust Markov Games with Average Reward

    Aug 5, 2025Zachary Roch, Yue WangNash EquilibriumMulti-Agent System Optimization

    Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA. · Department of Computer Science, University of Central Florida, Orlando, Florida, USA.

  17. Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning

    Jun 8, 2025Yang Xu, Swetha Ganesh, Vaneet AggarwalRobust Markov Decision ProcessesReinforcement Learning

    Purdue University, West Lafayette, Indiana, USA 47907

  18. Distributionally Robust Deep Q-Learning

    May 25, 2025Chung I Lu, Julian Sester, Aijia ZhangRobust Markov Decision ProcessesDeep Q-Learning

    National University of Singapore, Department of Mathematics, 21 Lower Kent Ridge Road, 119077.

  19. Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

    May 18, 2025Zachary Roch, George Atia, Yue WangReinforcement LearningAverage-Reward RL

    Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA. · Department of Computer Science, University of Central Florida, Orlando, Florida, USA.

  20. Distributionally Robust Reinforcement Learning with Human Feedback

    Mar 1, 2025Debmalya Mandal, Paulius Sasnauskas, Goran RadanovicDirect Preference OptimizationLLM Fine-Tuning

    Dept. of Computer Science University of Warwick, UK · Department of Computing Science University of Alberta, Edmonton, Canada · Max-Planck Institute for Software Systems, Germany

  21. Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

    Apr 4, 2024Miao Lu, Han Zhong, Tong Zhang +1Distributionally Robust RLRobust RL

    †Department of Management Science and Engineering, Stanford University. · ‡Center for Data Science, Peking University. · §Department of Computer Science, University of Illinois Urbana-Champaign.