Safe RL

RL: Reinforcement Learning

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19 papers in the last four weeks, up 138% on the four weeks before. 0.2% of all new papers.

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

    Aug 11, 2026Hangqi Ren, Junyi LiaoCounterfactual EvaluationOffline RL

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

  2. Threat-guided Policy-aware Scene Perturbation for Safe Autonomous Driving with Online Reinforcement Learning

    Aug 11, 2026Xincong Hu, Lei Ou, Maosen Li +3Adversarial Scenario GenerationSafe RL

    Nanjing University · 1Nanjing University, Nanjing, Jiangsu, China · 2Yinwang Intelligent Technology Co., Ltd., China +1

  3. Boundary-Seeking Policy Gradient for Safe Reinforcement Learning

    Aug 10, 2026Chenhua Fan, Jiahui Zhu, Yuhang Zhang +1Markov Decision ProcessesConstrained RL

    School of EECS, Washington State University, Pullman, WA 99163, USA

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

    Aug 5, 2026Mahshad Rastegarmoghaddam, Davoud Nikkhouy, Shima SamadzadehRL ControlReinforcement Learning

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

  5. HetGPS: Scalable Graph Multi-Agent Reinforcement Learning with Physics-Anchored Adaptive Safety for EV Charging

    Aug 1, 2026Xiangwei Wang, Nanduni Nimalsiri, Yu Xia +2Electric Vehicle ChargingSafe RL

    The University of Melbourne, Australia · CSIRO, Australia · Shanghai Jiao Tong University, China

  6. Evaluating Fuzz Testing for Reinforcement Learning Agents

    Jul 27, 2026Zhibin Kang, Hanmo You, Dong Wang +2Safe RLRobust RL

    College of Intelligence and Computing, Tianjin University, Tianjin, China

  7. Constrained Reinforcement Learning Using Successor Representations

    Jul 27, 2026Michael Girstl, Alexander Mattick, Christopher MutschlerConstrained RLSafe RL

    Technical University of Darmstadt (TU Darmstadt) · Hessian Center for Artificial Intelligence (hessian.AI) · Fraunhofer Institute for Integrated Circuits IIS, Fraunhofer IIS +1

  8. Bridging Reinforcement Learning and Optimal Control via Feasible Action Mapping

    Jul 27, 2026Stefan Richter, Alberto Giammarino, Guillem Torrente +2Robotic ControlRL Control

    Sony AI, Zurich, Switzerland

  9. Safe and Scalable Multi-Drone Payload Transport via CBF-based Reinforcement Learning with Zero-Shot Sim-to-Real Transfer

    Jul 22, 2026Jaeyoun Choi, Oswin So, Songyuan Zhang +2Multi-Robot SystemsControl Barrier Functions

    Reliable Autonomous Systems Lab, Massachusetts Institute of Technology, Cambridge, MA, USA

  10. Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning

    Jul 21, 2026Timothy TomashevskiyNon-Stationary RLSafe RL

    Department of Computing and Software McMaster University Hamilton, Ontario, Canada

  11. 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.

  12. 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

  13. SMC-ES: Automated synthesis of formally verified control policies

    Jul 16, 2026Riccardo Curcio, Toni Mancini, Enrico TronciFormal VerificationSafe RL

    Department of Computer Science, Sapienza University of Rome, via Salaria 113, 00198 Rome, Italy

  14. Safe Execution of RL Policies Via Acceleration-Based CBF-QP Constraint Enforcement for Real-World Robotic Deployments

    Jul 16, 2026Bastien Muraccioli, Alice Cariou, Pierre-Alexandre Leziart +4Robotic ControlControl Barrier Functions

    CNRS–AIST Joint Robotics Laboratory (JRL), IRL3218, AIST, Tsukuba, Japan · Department of Mechanical Engineering, The University of Tokyo, Japan

  15. Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observation

    Jul 15, 2026Anubhav Vishwakarma, Bhaumik Mehta, Caleb Hsu +3Reinforcement LearningControl Barrier Functions

    University of Washington

  16. SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy

    Jul 14, 2026Yassine Chemingui, Chenhua Fan, Honghao Wei +1Constrained RLRisk-Sensitive RL

    School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, USA

  17. 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

  18. Directional Constraints for Efficient Exploration in Safe Reinforcement Learning

    Jul 14, 2026Paolo Magliano, Puze Liu, Jan Peters +2Constrained RLRobotic RL

    Dipartimento di Automatica e Informatica, Politecnico di Torino, Turin, Italy · Tongji University, Shanghai Research Institute for Intelligent Autonomous Systems · German Research Center for AI (DFKI) +3

  19. Runtime Safety Filtering for Learned Small UAS Separation Policies under GNSS Degradation

    Jul 10, 2026Alex Zongo, Peng WeiCollision AvoidanceSafety Filtering

    Department of Mechanical and Aerospace Engineering · George Washington University · Washington, D.C., USA

  20. SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions

    Jul 9, 2026Elham Daneshmand, Majid Khadiv, Glen Berseth +1Robot SafetyProximal Policy Optimization

    McGill University · Mila · Technical University of Munich +1

  21. Feedback Manipulation Regularization: Enabling Offline Agent Alignment for Imitation Learning

    Jul 8, 2026Benjamin Poole, Minwoo LeeImitation LearningSafe RL

    Department of Computer Science University of North Carolina at Charlotte

  22. Safe Reinforcement Learning using Ideas from Model Predictive Control

    Jul 8, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Constrained RLSafe RL

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, Salzburg, Austria

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

    Jul 4, 2026Jiayi Guan, Tianle Zhang, Li Shen +8Reinforcement LearningConstrained RL

    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

  24. Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan HuberRL ControlReinforcement Learning

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Paris Lodron University of Salzburg, Salzburg, Austria

  25. Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation

    Jul 2, 2026Shenghui Zhang, YuXuan Gao, Songwei Zhao +3Robot Policy LearningUAV Navigation

  26. Safe Online Learning via Smooth Safety-Structured Policy Composition

    Jun 30, 2026Hongpeng Cao, Liqun Zhao, Yuliang Gu +3Safety-Critical ControlSafe RL

    School of Engineering and Design Technical University of Munich Garching, Munich 85748, Germany · Department of Engineering Science University of Oxford Oxford OX1 3PJ, United Kingdom · Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign Urbana, IL 61801, USA +1

  27. Modification-Considering Value Learning for Reward Hacking Mitigation in RL

    Jun 27, 2026Evgenii Opryshko, Umangi Jain, Igor GilitschenskiReward HackingReinforcement Learning

    University of Toronto · Vector Institute

  28. Regularized Reward-Punishment Reinforcement Learning

    Jun 26, 2026Jiexin Wang, Eiji UchibeReinforcement LearningKL-Regularized RL

    Dept. of Brain Robot Interface, ATR Computational Neuroscience Laboratories, 2-2-2, Hikaridai, Seikacho, Soraku-gun, Kyoto, 619-0288, Japan

  29. PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control

    Jun 26, 2026Jiatao Ding, Songqun Gao, Andrea Del Prete +1Robotic ControlConstrained RL

    Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123, Trento, Italy

  30. Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy

    Jun 25, 2026Wenjie Huang, Yang Li, Jingjia Teng +6Reinforcement LearningReward Shaping

    State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China · Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China · Xi’an Institute of High-Tech, Xi’an 710025, China +1