Safe RL

RL: Reinforcement Learning

Ask about this topic

Momentum

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

Jul 13Week of Sep 28
View on map

Latest papers 153

All topics
CardsList

  1. Safe Meta-Policy Design with Risk Control

    Oct 7, 2026Wenbin Zhou, Michael Lingzhi Li, Shixiang ZhuSafe RLRisk-Sensitive RL

    Heinz College of Information Systems and Public Policy, Carnegie Mellon University · Technology and Operations Management, Harvard Business School

  2. Safe on Average, Unsafe in the Tail: When Is the Episodic-Cost Tail Controllable?

    Oct 7, 2026Samuel Tetteh, Cody FlemingSafe RLConstrained RL

    Iowa State University Ames, Iowa, USA

  3. Reachability-Aware Diffusion Policy Optimization

    Oct 5, 2026Hikmet Simsir, Kutay Demiray, Ozgur S. OguzConstrained RLDiffusion Policy

    Department of Computer Engineering, Bilkent University

  4. DODGER: Safety-Guided Reinforcement Learning for Robot Navigation Among Dynamic Obstacles

    Sep 30, 2026Sanghyuk Park, Kwanwoo Lee, Taekyung Kim +2RL for RoboticsControl Barrier Functions

    Department of Intelligence and Information, Seoul National University, Republic of Korea · Department of Robotics, University of Michigan, Ann Arbor, MI, USA · Department of Mechanical Engineering, Yonsei University, Republic of Korea +1

  5. Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy

    Sep 29, 2026Huan Rong, Chao Yin, Anouar Imel +2Constrained RLRL for Autonomous Driving

    School of Artificial Intelligence, Nanjing University of Information Science & Technology, Jiangsu, Nanjing, 210-044, China · School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu, 611731, China · School of Software, Nanjing University of Information Science & Technology, 210044, Jiangsu, China +1

  6. RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful Rollouts

    Sep 29, 2026Hongbin Lin, Chaoda Zheng, Yiming Yang +11End-to-End Autonomous DrivingAction-Conditioned World Models

    The Chinese University of Hong Kong, Shenzhen · XPeng Motors · Xidian University

  7. RefineDrive: Reliable Failure-Guided Learning for Vision-Language-Action Driving

    Sep 28, 2026Zhe Sun, Ziyi Luo, Yehao Lu +2VLMs for Autonomous DrivingAutonomous Driving Planning

    College of Computer Science and Technology, Zhejiang University, Hangzhou, China · Yinwang Intelligent Technology Co., Ltd.

  8. 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.

  9. Vision--Language Signals in Constrained RL: Safety Gains Without Anticipation

    Sep 28, 2026Samuel Tetteh, Cody FlemingConstrained RLRL for Autonomous Driving

    Iowa State University Ames, Iowa, USA

  10. Hierarchical Multi-agent Reinforcement Learning for Warehouse Robot Coordination under Communication Loss

    Sep 27, 2026Weihao Sun, Gehui Xu, Andreas A. MalikopoulosHierarchical RLMulti-Robot Coordination

    Systems Engineering Program, Cornell University, Ithaca, NY 14850 USA · Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK · Applied Mathematics, Systems Engineering, Mechanical Engineering, Electrical & Computer Engineering, and School of Civil & Environmental Engineering, Cornell University, Ithaca, NY, USA

  11. Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning

    Sep 27, 2026Boyang Li, Matthew Kim, Sylvia Lee HerbertScore MatchingConstrained RL

    University of California San Diego

  12. Turning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning

    Sep 23, 2026Ruihan Wu, Rui Yang, Donggeon David Oh +2Sequential MARLRL for Robotics

    Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA · Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA

  13. 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

  14. CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for Quadrotors

    Sep 15, 2026Fabrizio Cesareo, Sebastiano Mengozzi, Nicola Mimmo +1RL ControlLyapunov-Based Control

    Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi” — DEI University of Bologna, Italy

  15. ResSafe: Learning Safety Filtering with Residual Reinforcement Learning for Humanoids

    Sep 14, 2026Gechen Qu, Tong Zhang, Bike Zhang +4Safety-Critical ControlHumanoid Robot Control

    University of California, Berkeley · University of California, Los Angeles

  16. Safe Meta-Reinforcement Learning via Information Space Reachability

    Sep 14, 2026Zeyang Li, Sunbochen Tang, Navid AzizanReachability AnalysisConstrained RL

    Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA 02139, USA

  17. Evaluation Metrics for Safe Reinforcement Learning

    Sep 14, 2026Lindsay Spoor, Aske Plaat, Thomas MoerlandRL BenchmarksConstrained RL

    Leiden Institute of Advanced Computer Science, Leiden University, Leiden, the Netherlands

  18. When Validation Stops Learning: Auditing Update Admission for Continual Embodied Agents

    Sep 12, 2026Qinzhen Ma, Ruihai WuContinual Robot LearningSafe RL

    Rice University · University of California, Berkeley

  19. Safety-aware Skill Adaptation for Reinforcement Learning in Dynamic Environments

    Sep 11, 2026A K M Nadimul Haque, Sheila Sutjipto, Marc G. Carmichael +1Robot Policy AdaptationRobotic Manipulation

    Robotics Institute, University of Technology Sydney, Australia

  20. A Risk-Sensitive and Uncertainty-Aware Decision-Making and Control Framework for Safe and Robust Autonomous Driving

    Sep 9, 2026Zhuoren Li, Ran Yu, Weiqi Zhang +4Control Barrier FunctionsAutonomous Driving

    College of Automotive and Energy Engineering, Tongji University, Shanghai 201804, China · Department of Data and Systems Engineering, The University of Hong Kong, Hong Kong

  21. Graph-Based Safe Reinforcement Learning for Multi-Agent Systems with Time-Varying Topology

    Sep 8, 2026Xiao Sizhe, Dong Lijing, Bai Rui +1Multi-Robot CoordinationSafe RL

    School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China

  22. Proactive Context-Forecasted Safety Constraints for Nonstationary Reinforcement Learning

    Sep 8, 2026Tim TomashevskiyNon-Stationary RLConstrained RL

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

  23. SCoCaT: Success Conditioned Constrained Reinforcement Learning for Spacecraft Docking

    Sep 5, 2026Aman Arora, Ricard Marsal I Castan, Matteo El-Hariry +1Spacecraft Rendezvous and Proximity OperationsConstrained RL

    SnT - Interdisciplinary Centre for Security, Reliability and Trust University of Luxembourg, Luxembourg

  24. Provably Safe Sim-to-Real Transfer

    Sep 1, 2026Tingting Ni, Maryam KamgarpourReinforcement LearningSim-to-Real Transfer

    SYCAMORE, EPFL

  25. 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

  26. Redistribution-based Cost Inference Improves Sparse Safe Offline RL

    Aug 12, 2026Ebenezer Gelo, Geraud Nangue Tasse, Steven James +1Credit Assignment in RLStep-Level Credit Assignment in RL

    University of the Witwatersrand · University of the Witwatersrand Johannesburg, South Africa

  27. Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning

    Aug 12, 2026Zijian Zhao, Sen LiSequential Decision MakingSafe RL

    1The Hong Kong University of Science and Technology · 2The Hong Kong University of Science and Technology (Guangzhou)

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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.

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

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

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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. Imagine to Ensure Safety in Hierarchical Reinforcement Learning

    Jun 21, 2026Gregory Gorbov, Artem Latyshev, Aleksandr I. PanovHierarchical RLSafe RL

    Moscow Independent Research Institute of Artificial Intelligence, Moscow 141701, Russia · FRC Computer Science RAS, Moscow 119333, Russia · Cognitive AI Systems Lab, Moscow 117312, Russia

  59. CRAX: Fast Safe Reinforcement Learning Benchmarking

    Jun 18, 2026Tristan Tomilin, Mourad Boustani, Mickey Beurskens +2RL BenchmarksReinforcement Learning

    Eindhoven University of Technology

  60. World Engine: Towards the Era of Post-Training for Autonomous Driving

    Jun 18, 2026Tianyu Li, Li Chen, Caojun Wang +16Autonomous DrivingRL Post-Training

    Archon Robotics · Shanghai Innovation Institute · NTU +6