Robust RL

RL: Reinforcement Learning

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Overview

Robust reinforcement learning studies how agents can make reliable decisions when dynamics, observations, rewards, or other agents differ from training conditions. Common approaches include robust Markov decision processes and distributionally robust optimization, adversarial training and domain randomization, and policies that use history or uncertainty estimates to adapt. Safety shields and formal verification add ways to constrain or certify behavior, with evaluation spanning control benchmarks, robotics, driving, and offline or multi-agent settings. A central tension is that worst-case protection can make policies overly conservative, while nominal performance may not predict transfer to unseen shifts; measuring that trade-off remains a key challenge.

Latest papers

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231 papers26 papers in the last four weeks, up 13% on the four weeks before. 0.2% of all new papers.

  1. Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric Uncertainty

    Oct 28, 2026Atin Chowdhury, Piyush JoshiReinforcement LearningRobust RL

    Department of Computer Science and Engineering, Indian Institute of Information Technology, Sri City, Andhra Pradesh, India

  2. Provably Efficient Q-learning for Robust Reinforcement Learning

    Oct 26, 2026Yuchen Jiao, Gen LiRobust RLDistributionally Robust RL

    Department of Statistics and Data Science, Chinese University of Hong Kong.

  3. RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms

    Oct 23, 2026Xi Chen, Fengqi Hu, Zeyu Shen +5Robust RLRL Benchmarks

    Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA. · University of California San Diego, La Jolla, CA 92093, USA. +3

  4. Regularised RL improves sim-to-real transfer

    Oct 23, 2026Danilo Vucetic, Mohamad H. Danesh, Florence Clerc +2Regularized RLReinforcement Learning

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

  5. Ground-Truth-First Benchmarking of Reinforcement Learning via Converse Optimality: From Smooth, Fully Observed Systems to Non-Smooth or Partially Observed Tasks

    Oct 22, 2026Grégoire Ouerdane, Sinan Ibrahim, Stefan Streif +1RL BenchmarksRobust RL

    Center for Engineering Systems and Sciences, Skoltech, 30 Bolshoy Boulevard, bld. 1, Moscow, 121205, Russia · Central University, 7 Gasheka St., bld. 1, Moscow, 123056, Russia · Technische Universität Chemnitz, Straße der Nationen 62, D-09111 Chemnitz, Germany +1

  6. SAFTER: Safety-Aware Filtering Through Explicit Recoverability for Robust Reinforcement Learning under Distribution Shift

    Oct 21, 2026Benedictus C. G. Cinun, Bin HuSafe RLReinforcement Learning

    Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77004, USA · Department of Engineering Technology, University of Houston, Houston, TX 77004, USA

  7. Brittle by Design? Multi-Scenario Reinforcement Learning for Robust Mission Coordination in Systems of Systems

    Oct 20, 2026İbrahim Oğuz Çetinkaya, Sajad Khodadadian, Taylan TopcuMulti-Agent CoordinationRobust RL

    Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA

  8. Glass-Box Deep Reinforcement Learning for High-Speed Flow Control

    Oct 19, 2026Ameya D. JagtapRL ControlFeedback Control

    Aerospace Engineering Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA

  9. Toward Online Robust Zero-Sum Markov Games with Function Approximation

    Oct 19, 2026Chenhao Zhou, Jiyu WeiRobust RLZero-Sum Games

    College of Computer Science and Technology, Zhejiang University

  10. Robust Reinforcement Learning for Dynamic Treatment Regimes under Model and Measurement Uncertainty

    Oct 15, 2026Chengze Xie, Xuan Wang, Ying Ding +2Robust RLSequential Decision Making

    Department of Industrial and Systems Engineering, Texas A&M University. · Department of Mechanical Engineering, The University of Texas at Austin. · School of Information, The University of Texas at Austin.

  11. Safe Reinforcement Learning with Receding-Horizon Safety Critic and Differentiable Action Shields

    Oct 14, 2026Siwei Ju, Jan Peters, Oleg ArenzSafe RLSafety Filtering

    Department of Computer Science, Technical University of Darmstadt, Germany. · Hessian.AI. · German Research Center for AI (DFKI), Research Department: Systems AI for Robot Learning. +1

  12. Adversarial Reinforcement Learning for Robust Planetary Landing

    Oct 14, 2026Miguel Leiva-Vélez, Nicolas Gaston-Rozado, Andrea Scorsoglio +3Adversarial MARLReinforcement Learning

    ETSI Aeronáutica y del Espacio, Universidad Politécnica de Madrid, Madrid, Spain · Indra Sistemas, Madrid, Spain · Department of Systems and Industrial Engineering, University of Arizona, Tucson, USA +2

  13. XAI-Guided Fourier Domain Generalisation for Pure-Simulation Sim-to-Real Deep Reinforcement Learning

    Oct 12, 2026Wei Yao, Chuyao Wang, Ziwei Wang +1Sim-to-Real TransferDomain Generalization

    City St George’s, University of London, London, United Kingdom

  14. Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning

    Oct 11, 2026Chang-Hoon Jeong, Kisung Shin, Hanwool Sul +1Meta-Reinforcement LearningOOD Generalization

    Dept. of Computer Science and Engineering, Seoul National University · Interdisciplinary Program in Artificial Intelligence, Seoul National University

  15. Reinforcement Learning Based Heterogeneous Task Allocation Under Spatio-Temporal Environmental Uncertainty for Multi-Robot Teams

    Oct 11, 2026Xi Lin, Yaxuan Li, Paul Szenher +1Multi-Robot Task AllocationDecentralized MARL

    Department of Mechanical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ 07030, USA

  16. WAND: Learning Robust Navigation under Complex Wind Disturbances and Dense Obstacles for Quadrotors

    Oct 8, 2026Zhonghan Tang, Chenhui Li, Shuai Liang +5Disturbance RejectionRobot Navigation

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China · Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China · Northwestern Polytechnical University, Xi’an 710072, China +1

  17. DAMP: Humanoid Locomotion via Denoised Belief Learning and Adversarial Motion Priors

    Oct 8, 2026Puying Shen, Wenhao Cui, Huaxing Huang +4Adversarial Motion PriorHumanoid Robot Locomotion

    School of Control Science and Engineering, Shandong University. · Shandong Key Laboratory of Humanoid Robotics.

  18. Higher-Order Action Supervision Makes A Strong Policy Class

    Oct 8, 2026Peng Cheng, Yunxian Hou, Zhi Zhou +3Policy LearningRobust RL

    Institute for AI Industry Research (AIR), Tsinghua University · Zenfex AI Lab · University of Electronic Science and Technology of China +1

  19. Modeling Latent Disturbances for Robust Decision-Making in World Models

    Oct 6, 2026Junwon Seo, Andrea BajcsyRobot Policy LearningWorld Model-Based Planning

    The authors are with the Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.

  20. I-BFM: Reward-Conditioned Robust Humanoid Interaction via Unsupervised Reinforcement Learning

    Oct 5, 2026Ziqi Han, Yitang Li, Junhan Sun +8Representation LearningReinforcement Learning

    Tongji University · Tsinghua University · Zhejiang University +3

  21. FoSeRL: Formal Sequential Robustness Certification for Reinforcement Learning Policies

    Oct 3, 2026Sara Taheri, Deep Kumar Ganguly, Jan Křetínský +1Adversarial RobustnessCertified Robustness

    LMU Munich, Germany · TUM, Munich, Germany · Masaryk University, Brno, Czech Republic +1

  22. CORE-RL: Confidence-Oriented Reliability Evaluation of Black-Box Reinforcement Learning Policies

    Oct 3, 2026Santhosh GS, Ananya Ravi, Devika Jay +5Reinforcement LearningSafe RL

    Center for Responsible AI IIT Madras Chennai, India · Ericsson Research India

  23. VIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning

    Oct 2, 2026Mingyu Park, Samyeul Noh, Hyun Myung +1Latent-Space RegularizationGeneralization in RL

    Robotics Program KAIST, ETRI · Electrical Engineering KAIST

  24. Robust Nash Alignment under Preference Uncertainty

    Sep 30, 2026Shihab Ahmed, Debamita Ghosh, David Tang +3LLM AlignmentPreference Alignment

    University of Central Florida · Arizona State University · University of Colorado Boulder

  25. Robust Risk-Sensitive Reinforcement Learning from Corrupted Human Feedback

    Sep 30, 2026Xinyi Ni, Lifeng LaiRisk-Sensitive RLRobust RL

    Department of Electrical and Computer Engineering, University of California, Davis, CA 95616, USA

  26. Predictive Safety Curricula for Robust Legged Locomotion

    Sep 29, 2026Ivan Ovinnikov, Pascal Sutter, Christian Gehring +1Curriculum RLRobot Safety

    ANYbotics AG Zürich, Switzerland

  27. Dual-Channel Robust Group-Relative Policy Optimization via Advantage and Sequence-Weight Estimation

    Sep 29, 2026Zhongyi Li, Wan Tian, Xiang Xu +4RL for Language Model ReasoningGroup Relative Policy Optimization

    Beihang University · Peking University · Nanjing University

  28. Learning Perturbation Robust Policies for LLM Agents with Stable Optimization

    Sep 28, 2026Pengxin Wang, Yuanzhe LI, Yuxin Ren +2RL Post-TrainingRobust RL

    Department of Electrical and Computer Engineering University of Arizona

  29. SwingRL: Adaptive Observation Reinforcement Learning with World-Model Prediction for Cable-Suspended Hoisting Control

    Sep 27, 2026Guangming Wang, Xiaoyu Zhang, Yucheng Xin +8Robotic ControlFeedback Control

    Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, U.K. · Tsinghua University, Beijing, China · School of Engineering, Cardiff University, Cardiff, U.K. +1

  30. Interactive Distributionally Robust Multi-Agent Learning with General Function Approximation

    Sep 25, 2026Debamita Ghosh, George K. Atia, Yue WangFunction Approximation in RLReinforcement Learning

    Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA · Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA