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. Model-Based Proactive Cost Generation for Learning Safe Policies Offline with Limited Violation Data

    May 2, 2026Ruiqi Xue, Lei Yuan, Kainuo Cheng +2LLM-Guided RLOffline RL

    National Key Laboratory for Novel Software Technology, Nanjing University · School of Artificial Intelligence, Nanjing University · Polixir Technologies +2

  2. Value Functions for Temporal Logic: Optimal Policies and Safety Filters

    May 1, 2026Oswin So, William Sharpless, Sylvia Herbert +1Sequential Decision MakingSafe RL

    Massachusetts Institute of Technology, Cambridge, MA 02139, USA · University of California, San Diego, CA 92093, USA

  3. Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning

    May 1, 2026Jiaming Zhang, Yujie Yang, Yao Lyu +2Constrained RLAugmented Lagrangian Method

  4. Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics

    Apr 29, 2026Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank +2Uncertainty QuantificationModel Predictive Control

    Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University · Institute of Climate and Energy Systems (ICE), Energy Systems Engineering (ICE-1), Forschungszentrum Jülich GmbH

  5. Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training

    Apr 29, 2026Mahya Ramezani, Holger VoosReinforcement LearningUAV Navigation

    Automation and Robotics Research Group, Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg.

  6. Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning

    Apr 29, 2026Seungyub Han, Hyungjin Kim, Jungwoo LeeReinforcement LearningOffline RL

    Seoul National University

  7. Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking

    Apr 29, 2026Disha SinghaReward HackingReinforcement Learning

  8. Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty

    Apr 28, 2026Artur Eisele, Bernd Frauenknecht, Friedrich Solowjow +1Robot SafetySafety Filtering

    Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany

  9. Safe-Support Q-Learning: Learning without Unsafe Exploration

    Apr 28, 2026Yeeun Lim, Narim Jeong, Donghwan LeeReinforcement LearningKL-Regularized RL

    HD Korea Shipbuilding & Offshore Engineering · Department of Electrical Engineering, KAIST, Daejeon, South Korea

  10. CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning

    Apr 26, 2026Rahul Narava, Siddharth Verma, Ojas Jain +2Control Barrier FunctionsConstrained RL

    Indian Institute of Technology Ropar · CRAN, Université de Lorraine

  11. Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems

    Apr 24, 2026Aayushi Shrivastava, Kartik Nagpal, Sairam Jinkala +2Dynamical SystemsSafety-Critical Control

    Department of Mechanical Engineering, University of California Berkeley, Berkeley, CA 94709, USA

  12. Safe Continual Reinforcement Learning in Non-stationary Environments

    Apr 21, 2026Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro +1RL ControlNon-Stationary RL

    Institute for Software Integrated Systems, Vanderbilt University

  13. Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback

    Apr 21, 2026Qiang Liu, Adrienne Kline, Ermin WeiConstrained RLPolicy Gradient Methods

    Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA · Center for Artificial Intelligence, Bluhm Cardiovascular Institute, Northwestern Medicine, Chicago, IL, USA · Department of Surgery, Northwestern University, Chicago, IL, USA +3

  14. Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning

    Apr 17, 2026Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar +2OOD GeneralizationAutonomous Driving

    Virginia Commonwealth University, Richmond, VA 23284, USA · University of Michigan, Ann Arbor, MI 48109, USA · Virginia Tech, Blacksburg, VA 24061, USA

  15. Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility

    Apr 17, 2026Colin Jüni, Mina Montazeri, Yi Guo +3RL ControlBuilding Energy Management

    Urban Energy Systems Laboratory, Swiss Federal Laboratories for Materials Science and Technology, Dubendorf, Switzerland. · School of Automation, Beijing Institute of Technology, Haidian District, Beijing, China · Reliability and Risk Engineering Laboratory, ETH Zürich, CH-8092, Switzerland.

  16. RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning

    Apr 16, 2026Steven A. Senczyszyn, Timothy C. Havens, Nathaniel Rice +3Safe RLRobust RL

    Michigan Technological University · ARiA · DEVCOM

  17. DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving

    Mar 18, 2026Zilin Huang, Zihao Sheng, Zhengyang Wan +4VLMs for Autonomous DrivingLLM-Guided RL

    Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA · Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN 47907, USA · Department of Civil Engineering, McGill University, Montreal, QC, H3A 0C3, Canada

  18. Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies

    Mar 16, 2026Mumuksh Tayal, Manan Tayal, Ravi PrakashFlow MatchingOffline RL

    Indian Institute of Science, India

  19. Conformal Policy Control

    Mar 2, 2026Drew Prinster, Clara Fannjiang, Ji Won Park +4Constrained RLRL Exploration

    Prescient Design, Genentech, U.S.A. · Johns Hopkins University, Baltimore, U.S.A. · New York University, NYC, U.S.A. +1

  20. High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning

    Feb 9, 2026Jiarui Zhang, Chengyong Lei, Chengjiang Dai +4RL for RoboticsUAV Navigation

    Institute of Cyber-Systems and Control, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China · Differential Robotics, Hangzhou 311121, China.

  21. Constrained Group Relative Policy Optimization

    Feb 5, 2026Roger Girgis, Rodrigue de Schaetzen, Luke Rowe +3Group Relative Policy OptimizationConstrained RL

    Mila – Quebec AI Institute Université de Montréal

  22. Reversible Simplex Supervision with Post-Action Debt Accounting for Goal-Reaching RL

    Jan 27, 2026Mehdi Heydari Shahna, Joongheon Kim, Jouni MattilaRL for RoboticsRobot Safety

    Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland · Department of Electrical and Computer Engineering, Korea University, Seoul, Republic of Korea

  23. SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints

    Dec 29, 2025Dominik Wagner, Ankit Kanwar, Luke OngSafety-Critical ControlPolicy Optimization

    NTU Singapore · Sony Corporation

  24. Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning

    Nov 6, 2025Jiaming Zhang, Yujie Yang, Haoning Wang +2Safe RLConstrained RL

    Department of Mathematical Sciences Tsinghua University Beijing, 100084, China · School of Vehicle and Mobility Tsinghua University Beijing, 100084, China · Department of Mathematical Sciences, Tsinghua University Beijing, 100084, China +1

  25. CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions

    Oct 16, 2025Lizhi Yang, Blake Werner, Massimiliano de Sa +1RL for RoboticsControl Barrier Functions

    Caltech MCE

  26. SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems

    Jun 2, 2025Asha Ramanujam, Adam Elyoumi, Hao Chen +5RL BenchmarksConstrained RL

    Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN · Energy Sciences, ExxonMobil Technology and Engineering Company, Annandale, NJ · Energy Sciences, ExxonMobil Technology and Engineering Company, Annadale, NJ

  27. SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics

    May 16, 2025Lizhi Yang, Blake Werner, Ryan K. Cosner +3Control Barrier FunctionsHumanoid Robot Control

    Mechanical and Civil Engineering, California Institute of Technology · Aerospace Engineering and Engineering Mechanics, UT Austin · Computer Science, Cornell University

  28. TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level Labels

    Apr 17, 2025Siow Meng Low, Ze Gong, Akshat KumarRL ControlCredit Assignment in RL

    School of Computing and Information Systems, Singapore Management University, Singapore · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

  29. A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration

    Apr 16, 2025Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1Reward ShapingMobile Robotics

    Luleå University of Technology · Robotics and AI Group, Department of Computer Science, Electrical and Space Engineering, Luleåa University of Technology, Sweden

  30. Passivity-Centric Safe Reinforcement Learning for Contact-Rich Robotic Tasks

    Mar 1, 2025Heng Zhang, Gokhan Solak, Sebastian Hjorth +1Robotic ControlContact-Rich Robotic Manipulation

    HRI2 Lab, Istituto Italiano di Tecnologia, Genoa, Italy · Ph.D. program of national interest in Robotics and Intelligent Machines (DRIM) and University of Genova, Genoa, Italy

  31. Safe Learning Control with Optimality and Stability Guarantees

    Jan 26, 2025Xinyang Wang, Hongwei Zhang, Shimin Wang +2Control Barrier FunctionsRobust Control

    Shenzhen Key Lab for Advanced Motion Control and Modern Automation Equipments, School of Intelligence Science and Engineering, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China · School of Data Science, Lingnan University, Hong Kong · School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, with M3S, SMART, and with MIT CSAIL +1

  32. Constrained Reinforcement Learning for Safe Heat Pump Control

    Sep 29, 2024Baohe Zhang, Lilli Frison, Thomas Brox +1RL ControlConstrained RL

    Faculty of Computer Science, University of Freiburg, Germany · Systems Control and Optimization Laboratory, Department of Microsystems Engineering, University of Freiburg, Germany

  33. Safe Learning Under Irreversible Dynamics via Asking for Help

    Date pendingBenjamin Plaut, Juan Liévano-Karim, Hanlin Zhu +1Regret Minimization in RLReinforcement Learning

    Division of Computer Science University of California Berkeley, CA 94720-1776, USA