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. Formal Verification of Learned Multi-Agent Communication Policies via Decision Tree Distillation

    Jun 17, 2026Ahmad Farooq, Kamran IqbalNeural Network VerificationMulti-Robot Coordination

    Department of Electrical and Computer Engineering, University of Arkansas at Little Rock, Little Rock, AR 72204 USA

  2. TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning

    Jun 16, 2026Zijie Meng, Ziwei Li, Yufei Liu +5Cyber-Physical SystemsReinforcement Learning

    Peking University · National Taiwan University · WHU +1

  3. Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations

    Jun 16, 2026Alejandro Posadas-Nava, Richard Linares, Minduli WijayatungaSpacecraft Rendezvous and Proximity OperationsControl Barrier Functions

    Researcher, AeroAstro, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139-4307. · Associate Professor and Rockwell International Career Development Professor, AeroAstro, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139-4307. · Assistant Professor, Department of Aerospace Engineering, University of Illinois, Urbana-Champaign, 104 S Wright St, Urbana, IL 61801.

  4. Greed Is Learned: Visible Incentives as Reward-Hacking Triggers

    Jun 15, 2026Tong Che, Rui WuReward HackingLLM Safety

    Rutgers University

  5. SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model

    Jun 15, 2026Kai Tang, Peidong Jia, Zhong Chu +15Constrained RLRobot Safety

    State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University · Beijing Innovation Center of Humanoid Robotics · Nanyang Technological University +2

  6. Hamilton-Jacobi Reachability-Based Safe Reinforcement Learning for Emergency Collision Avoidance

    Jun 13, 2026Yuhong Jiang, Shiyue Zhao, Junzhi Zhang +4Collision AvoidanceReachability Analysis

    School of Vehicle and Mobility, Tsinghua University, Beijing, China · State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing, China

  7. Safe Reinforcement Learning of Autonomous Highway Driving: A Unified Framework for Safety and Efficiency

    Jun 12, 2026Chufei Yan, Zhihao Cui, Yiyan Lv +3Reinforcement LearningMixture of Experts

    School of Physics, Northeast Normal University, Changchun, 130024, China. · 2Clean Energy Automotive Engineering Center, School of Automotive Studies, Tongji University, Shanghai, 201804, China. · 3Mengshi Automobile Technology Company, Dongfeng Motor Corporation, Wuhan, 430010, China.

  8. Provably Safe, Yet Scalable Reinforcement Learning

    Jun 12, 2026Kai S. Yun, Zeyang Li, Navid AzizanRL ControlSafety-Critical Control

    MIT

  9. CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning

    Jun 12, 2026Ayoub Belouadah, Sylvain Kubler, Yves Le TraonConstrained RLSafe RL

    SnT, University of Luxembourg

  10. Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning

    Jun 12, 2026Omar Adalat, Edwin Hamel-De le Court, Francesco BelardinelliMulti-Agent CoordinationFormal Verification

    Imperial College London, London SW7 2AZ, UK · University of Manchester, Manchester M13 9PL, UK

  11. Utility-Constrained Policy Optimization

    Jun 12, 2026Mehrdad Moghimi, Bernardo Avila PiresConstrained RLRisk-Sensitive RL

    York University Toronto, Canada · Google DeepMind London, United Kingdom

  12. Individual Control Barrier Functions-Guided Diffusion Model for Safe Offline Multi-Agent Reinforcement Learning

    Jun 10, 2026Qingyun Guo, Junyi Shi, Jianuo Huang +1Control Barrier FunctionsOffline RL

    Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland · School of Computing and Data Science, Xiamen University Malaysia, Sepang, Malaysia · Department of Computer Science, University of Toronto, Toronto, Canada

  13. Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models

    Jun 9, 2026Samuel Tetteh, Cody FlemingConstrained RLRobot Safety

    Iowa State University Ames, Iowa, USA

  14. SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration

    Jun 8, 2026Kaustubh Mani, Yann Pequignot, Vincent Mai +1Sharpness-Aware MinimizationRL Exploration

    Universit´e de Montr´eal · Mila - Qu´ebec AI Institute · Universit´e Laval +2

  15. Safe-RULE: Safe Reinforcement UnLEarning

    Jun 8, 2026Shixiong Jiang, Taozheng Zhu, Fanxin KongOffline RLSafe RL

    Department of Computer Science and Engineering, University of Notre Dame

  16. PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation

    Jun 7, 2026Lingxuan Wu, Zijian Zhu, Lizhong Wang +5Robot Policy LearningDiffusion Policy

    Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, 100084, China · Peng Cheng Laboratory, 518108, China

  17. Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies

    Jun 4, 2026Christian Llanes, Spencer W. Jensen, Samuel CooganMulti-Agent ControlMulti-Robot Coordination

    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. · Sandia National Laboratories, Albuquerque, NM 87123, USA.

  18. Learning of Robot Safety Policies via Adversarial Synthetic Scenarios

    Jun 4, 2026Nikolai Dorofeev, Alexey Odinokov, Rostislav YavorskiyRobot Policy LearningAdversarial Scenario Generation

    SafePI.ai Grenoble, France · SafePI.ai Belgrade, Serbia · SafePI.ai Madrid, Spain

  19. Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees

    Jun 3, 2026Mohit Prashant, Arvind EaswaranControl Barrier FunctionsRisk-Sensitive RL

    Nanyang Technological University

  20. COP-Q: Safety-First Reinforcement Learning for Robot Control via Cholesky-Ordered Projection

    Jun 3, 2026Guopeng Li, Moritz A. Zanger, Matthijs T. J. Spaan +1Robotic ControlMulti-Objective Reinforcement Learning

    Department of Cognitive Robotics, Delft University of Technology · School of Transportation, Southeast University, China · Department of Intelligent Systems, Delft University of Technology, the Netherlands

  21. Explainably Safe Reinforcement Learning

    Jun 3, 2026Sabine Rieder, Stefan Pranger, Debraj Chakraborty +2Reinforcement LearningInterpretability in RL

    Masaryk University · Technical University of Munich · Graz University of Technology

  22. Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

    Jun 3, 2026Damian Lebiedź, Robert ŚlepaczukSafe RLAlgorithmic Trading

    Faculty of Economic Sciences, University of Warsaw, ul. Długa 44/50, Warsaw, 00-241, Poland · Quantitative Finance Research Group, Department of Quantitative Finance and Machine Learning, Faculty of Economic Sciences, University of Warsaw, ul. Długa 44/50, Warsaw, 00-241, Poland

  23. Easy-to-Use Shielding for Reinforcement Learning

    Jun 2, 2026Stefan Pranger, Bettina KönighoferReinforcement LearningRL Exploration

    Institute of Information Security, Graz University of Technology

  24. Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command Supervision

    May 31, 2026Mehmet Iscan, Batuhan TemizAerial RoboticsStochastic Optimal Control

    PythaLab, Yildiz Technical University, Istanbul, Turkey · Autopilot Systems Chief Engineer, Turkish Aerospace (TUSAŞ), Ankara, Turkey

  25. 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

  26. Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment

    May 31, 2026Xun Shen, Yuepeng Wang, Akifumi Wachi +13Reinforcement LearningSequential Decision Making

    Tokyo University of Agriculture and Technology · LY Corporation · National University of Singapore +6

  27. A Unified Benchmark for Dynamic Medical Treatment Reinforcement Learning

    May 31, 2026Yuepeng Wang, Ken Kawano, Yoshihiko Fujisawa +12RL BenchmarksReinforcement Learning

    Tokyo University of Agriculture and Technology · Institute of Science Tokyo · National University of Singapore +5

  28. Robust Shielding for Safe Reinforcement Learning

    May 29, 2026Edwin Hamel-De le Court, Thom Badings, Alessandro Abate +2Robust Markov Decision ProcessesFormal Verification

    Department of Computer Science, University of Manchester, United Kingdom · Faculty of Computer Science & DSME, RWTH Aachen University, Germany · Department of Computer Science, University of Oxford, United Kingdom +1

  29. Safe Equilibrium Policy Optimization for Strategic Agent Policies

    May 29, 2026Karthika Arumugam, Kiran Kumar Manku, Amit DhandaMulti-Agent System OptimizationGame-Playing Agents

    †Amazon, USA

  30. SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving

    May 27, 2026Kangyu Wu, Peng Cui, Guoxi Chen +1Autonomous DrivingTraffic Accident Anticipation

    School of Automation, Southeast University, Nanjing, China · Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China

  31. Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment

    May 26, 2026Gengyue Han, Yiheng FengReinforcement LearningSim-to-Real Transfer

    Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, USA · Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA

  32. Credibility-Aware Learning and Control for Safe USV Navigation under Perception Uncertainty

    May 26, 2026Yuhang Zhang, Shuqi Chai, Yukang Zhang +5Collision AvoidanceRobot Navigation

    School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China · Shenzhen Research Institute of Big Data, Shenzhen 518172, China · Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China +5

  33. Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty

    May 26, 2026Chayan Banerjee, Ethan GoanActive PerceptionConstrained RL

    School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Australia.

  34. Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning

    May 26, 2026Dhruv S. Kushwaha, Zoleikha A. BironKoopman Operator LearningControl Barrier Functions

  35. Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning

    May 24, 2026Minjae Kwon, Amir Moeini, Shangtong Zhang +1Reinforcement LearningControl Barrier Functions

    University of Virginia

  36. Counterfactually Safe Reinforcement Learning

    May 24, 2026Jingyi Li, Peng Wu, Chengchun ShiConstrained RLSafe RL

    Department of Statistics and Data Science, National University of Singapore · School of Mathematics and Statistics, Beijing Technology and Business University · Department of Statistics, London School of Economics and Political Science

  37. Kernel-Based Safe Exploration in Deep Reinforcement Learning

    May 21, 2026Rupak Majumdar, Nikhil Singh, Sadegh SoudjaniControl Barrier FunctionsRL Exploration

    Max Planck Institute for Software Systems, Germany

  38. Implicit Safety Alignment from Crowd Preferences

    May 20, 2026Qian Lin, Daniel S. BrownSafe RLPreference-Based RL

    Kahlert School of Computing, University of Utah

  39. DiffCVaR: Reinforcement Learning for Risk Adaptation via Differentiable CVaR Barrier Functions

    May 20, 2026Xinyi Wang, Taekyung Kim, Bardh Hoxha +2Control Barrier FunctionsRisk-Sensitive RL

    Department of Robotics, University of Michigan, Ann Arbor, MI, 48109, USA · Toyota Motor North America, Research & Development, Ann Arbor, MI, 48105, USA · Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, 48109, USA

  40. PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment

    May 20, 2026Richa Verma, Bavish Kulur, Sanjay Chawla +1Direct Preference OptimizationConstrained RL

    TCS Research, Department of CSE, IIT Madras India · Department of Computing Science, University of Alberta Canada · Qatar Computing Research Institute, Hamad Bin Khalifa University Qatar +1

  41. Sampling-Based Safe Reinforcement Learning

    May 19, 2026Luca Vignola, Bruce D. Lee, Manish Prajapat +4Robot SafetySafe RL

    ETH Zurich

  42. Generative Auto-Bidding with Unified Modeling and Exploration

    May 19, 2026Mingming Zhang, Feiqing Zhuang, Na Li +7Automated BiddingOnline Advertising

    Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University · Taobao & Tmall Group of Alibaba

  43. Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections

    May 19, 2026Wenzhe Song, Hao ZhangMulti-Agent CoordinationIntelligent Transportation Systems

    School of Business Stevens Institute of Technology Hoboken, 07030, USA · Department of Mechanical Engineering Carnegie Mellon University Pittsburgh, 15213, USA

  44. Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty

    May 18, 2026Prakash Aryan, Kaushik Raghupathruni, Timo Kehrer +1Pedestrian Behavior ModelingHuman Behavior Simulation

    University of Bern, Bern, Switzerland. · AI4I, The Italian Institute of Artificial Intelligence, Turin, Italy.

  45. Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles

    May 16, 2026Jianye Xu, Bassam AlrifaeeReward ShapingControl Barrier Functions

    Department of Computer Science, RWTH Aachen University, Germany · Department of Aerospace Engineering, University of the Bundeswehr Munich, Germany

  46. Imperfect World Models are Exploitable

    May 15, 2026Logan Mondal Bhamidipaty, Esmeralda S. Whitammer, David Abel +2Reward HackingWorld Model-Based Planning

    University of Edinburgh · Stanford University

  47. parallelcbf: A composable safety-filter and auditability framework for tensor-parallel reinforcement learning

    May 15, 2026Yijun Lu, Zilei Yang, Yuyin MaReinforcement LearningControl Barrier Functions

  48. Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability

    May 14, 2026Yushen Liu, Yin-Jen Chen, Ziyi Chen +4Safety-Critical ControlPartially Observable RL

    University of Virginia · Google · University of Maryland, College Park +3

  49. Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints

    May 13, 2026Timofey TomashevskiyNon-Stationary RLReinforcement Learning

    McMaster Centre for Software Certification Department of Computing and Software McMaster University, Canada

  50. From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning

    May 13, 2026Timofey TomashevskiyNon-Stationary RLConstrained RL

    McMaster Centre for Software Certification Department of Computing and Software McMaster University, Canada

  51. Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning

    May 12, 2026Jingduo Pan, Taoran Wu, Yiling Xue +1Constrained RLSafe RL

    Key Laboratory of System Software (Chinese Academy of Sciences), Institute of Software, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China

  52. Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance

    May 11, 2026Adam Haroon, Erick J. Rodríguez-Seda, Cody Fleming +1RL ControlLyapunov-Based Control

    Department of Mechanical Engineering, Iowa State University, Ames, IA, USA · Navy Center for Applied Research in Artificial Intelligence (NCARAI), U.S. Naval Research Laboratory, Washington, D.C., USA · Department of Weapons, Robotics, and Control Engineering, United States Naval Academy, Annapolis, MD, USA

  53. Shields to Guarantee Probabilistic Safety in MDPs

    May 11, 2026Linus Heck, Filip Macák, Roman Andriushchenko +2Markov Decision ProcessesSafety-Critical Control

    Radboud University, Nijmegen, the Netherlands · Brno University of Technology, Czechia

  54. Robust Probabilistic Shielding for Safe Offline Reinforcement Learning

    May 11, 2026Maris F. L. Galesloot, Thomas Rhemrev, Nils JansenOffline RLSafe RL

    Radboud University · Nijmegen, The Netherlands · Ruhr University & Radboud University +1

  55. Reinforcement Learning for Scalable and Trustworthy Intelligent Systems

    May 8, 2026Guangchen LanFederated RLPrivacy-Preserving Language Models

    Elmore Family School of Electrical and Computer Engineering, West Lafayette, Indiana · THE PURDUE UNIVERSITY GRADUATE SCHOOL

  56. Learned Lyapunov Shielding for Adaptive Control

    May 7, 2026Giansalvo Cirrincione, Adriano FagioliniLyapunov-Based ControlSafe RL

    Laboratoire LTI, Université de Picardie Jules Verne, Amiens, France. · MIRPALab, Department of Engineering, University of Palermo, 90128 Palermo, Italy.

  57. Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL

    May 6, 2026Dillon Sandhu, Ronald ParrPolicy OptimizationPolicy Iteration

    Department of Computer Science, Duke University, USA

  58. Worst-Case Discovery and Runtime Protection for RL-Based Network Controllers

    May 6, 2026Hongyu Hè, Minhao Jin, Maria ApostolakiRL ControlSafe RL

    Princeton

  59. Constraint-Enhanced Reinforcement Learning Based on Dynamic Decoupled Spherical Radial Squashing

    May 5, 2026Qijun Liao, Zhaoxin Yu, Jue YangRobotic ControlConstrained RL

    School of Mechanical Engineering, University of Science and Technology Beijing · Institute of Automation, Chinese Academy of Sciences

  60. Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning

    May 4, 2026Rufeng Chen, Zhaofan Zhang, Zhejiang Yang +2Diffusion-Based PlanningDiffusion Guidance

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