Risk-Sensitive RL

RL: Reinforcement Learning

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10 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
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  1. Utility-Constrained Policy Optimization

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

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

  2. Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response

    Jun 11, 2026Jose Luis Lima de Jesus SilvaAutonomous Cyber DefenseRisk-Sensitive RL

    Oxaala Tecnologias, Rua Dinah Silveira de Queirós, 06, Quinta do Candeal, Horto Florestal, Salvador, 40296-160, Bahia, Brazil · Universidade Federal da Bahia, Instituto de Geociências, Rua Barão de Jeremoabo, s/n, Ondina, Salvador, Bahia, 40170-115, Brazil

  3. OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation

    Jun 4, 2026Paavo Parmas, Yongmin Kim, Kohsei Matsutani +5Stochastic OptimizationRisk-Sensitive RL

    The University of Tokyo

  4. 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

  5. Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving

    May 28, 2026Ahmed Abouelazm, Felix Klingebiel, Philip Schörner +1Reinforcement LearningRisk-Sensitive RL

    FZI Research Center for Information Technology, Germany · Karlsruhe Institute of Technology, Germany

  6. Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs

    May 23, 2026Meichen Song, Yuhao Wang, Enlu ZhouReinforcement LearningBayesian RL

    School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, GA 30332, USA

  7. On the Sample Complexity of Discounted Reinforcement Learning with Optimized Certainty Equivalents

    May 20, 2026Oliver Mortensen, Mohammad Sadegh TalebiReinforcement LearningRisk-Sensitive RL

    Department of Computer Science, University of Copenhagen.

  8. 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

  9. SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving

    May 19, 2026Kefei Tian, Yuansheng Lian, Kai Yang +2End-to-End Autonomous DrivingRisk-Sensitive RL

    aCollege of Transportation, Tongji University, Shanghai, 200092, China · bDepartment of Civil Engineering, Tsinghua University, Beijing, 100084, China · cSchool of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China +1

  10. Pessimistic Risk-Aware Policy Learning in Contextual Bandits

    May 15, 2026Yilong Wan, Yuqiang Li, Xianyi WuRisk-Sensitive RLContextual Bandits

  11. 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

  12. Safety-Constrained Reinforcement Learning with Post-Training Reachability Verification for Robot Navigation

    May 13, 2026Qisong He, Xinmiao Huang, Jinwei Hu +4Constrained RLRisk-Sensitive RL

    University of Liverpool, Liverpool, UK. · Universit´e Grenoble Alpes, Grenoble, France.

  13. Tight Sample Complexity Bounds for Entropic Best Policy Identification

    May 13, 2026Amer Essakine, Claire VernadeReinforcement LearningRisk-Sensitive RL

    ENS Paris Saclay · University of Technology Nuremberg

  14. Reinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPs

    May 8, 2026Gugan Thoppe, L. A. Prashanth, Ankur Naskar +1Markov Decision ProcessesReinforcement Learning

    Computer Science and Automation, Indian Institute of Science, Bengaluru · Computer Science and Engineering, Indian Institute of Technology Madras, Chennai · Tata Consultancy Services Limited, Hyderabad

  15. Actor-Critic Algorithm for Dynamic Expectile and CVaR

    May 8, 2026Yudong Luo, Erick DelageReinforcement LearningRisk-Sensitive RL

    1GERAD & Department of Decision Sciences, HEC Montr´eal, Canada · 2Mila - Quebec AI Institute, Canada

  16. Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation

    May 7, 2026Aditya Sai Ellendula, Yi Wang, Chandrajit BajajCollision AvoidanceDynamical Systems

    Department of Computer Science, University of Texas at Austin, Austin, TX 78712, USA · Oden Institute, University of Texas at Austin, Austin, TX 78712, USA

  17. RVPO: Risk-Sensitive Alignment via Variance Regularization

    May 7, 2026Ivan Montero, Tomasz Jurczyk, Bhuwan DhingraRL for Language ModelsRisk-Sensitive RL

    Apple

  18. Quantile Geometry Regularization for Distributional Reinforcement Learning

    May 5, 2026Zhaofan Zhang, Minghao Yang, Rufeng Chen +2Distributional RLQuantile Regression

    Information Hub, AI Thrust Hong Kong University of Science and Technology (Guangzhou) Guangzhou, Guangdong, China

  19. MARS-DA: A Hierarchical Reinforcement Learning Framework for Risk-Aware Multi-Agent Bidding in Power Grids

    May 4, 2026Jiayi Chen, Xuan Zhang, Guiling WangHierarchical RLRisk-Sensitive RL

    Department of Computer Science, New Jersey Institute of Technology

  20. Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation

    May 1, 2026Andrzej Ruszczynski, Tiangang ZhangMarkov Decision ProcessesReinforcement Learning

    Department of Management Science and Information Systems, Rutgers University

  21. Frictive Policy Optimization for LLMs: Epistemic Intervention, Risk-Sensitive Control, and Reflective Alignment

    Apr 28, 2026James Pustejovsky, Nikhil KrishnaswamyRL for Language ModelsLanguage Model Safety Evaluation

    Brandeis University · Waltham, MA, USA · Colorado State University +1

  22. The Price of Paranoia: Robust Risk-Sensitive Cooperation in Non-Stationary Multi-Agent Reinforcement Learning

    Apr 17, 2026Deep Kumar Ganguly, Chandradithya S Jonnalagadda, Pratham Chintamani +1Cooperative Game TheoryMulti-Agent Coordination

    Technical University of Munich (TU Munich) · Brown University · Indian Institute of Technology Tirupati (IIT Tirupati)

  23. Safe RLHF Beyond Expectation: Stochastic Dominance for Universal Spectral Risk Control

    Mar 11, 2026Yaswanth Chittepu, Ativ Joshi, Rajarshi Bhattacharjee +1Constrained RLLLM Safety Alignment

    University of Massachusetts Amherst

  24. Reinforcement learning with an expectile-based objective

    Feb 10, 2026Shrey Rakeshkumar Patel, Sumedh Gupte, Soumen Pachal +2Reinforcement LearningRisk-Sensitive RL

    Indian Institute of Technology Madras · TCS Research, India

  25. Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity

    Feb 3, 2026Aneri Muni, Vincent Taboga, Esther Derman +2Markov Decision ProcessesQ-Learning

    Universit´e de Montr´eal, Quebec, Canada · Mila - Quebec AI Institute, Quebec, Canada · GERAD & Department of Decision Sciences, HEC Montr´eal, Quebec, Canada

  26. Cantelli Constrained Policy Optimization

    Jan 30, 2026Rohan Tangri, Jan-Peter CalliessPolicy OptimizationConstrained RL

    Machine Learning Research Group, University of Oxford, Oxford, United Kingdom

  27. ProSpec RL: Plan Ahead, then Execute

    Jul 31, 2024Liangliang Liu, Yi Guan, BoRan Wang +5Reinforcement LearningRisk-Sensitive RL

    1The Faculty of Computing, Harbin Institute of Technology, Harbin, China · 2The Artificial Intelligence Institute, Harbin Institute of Technology, ShenZhen, China · 3The Artificial Intelligence Institute, Harbin Institute of Technology, Harbin, China

  28. On the Approximation and Convergence of Distributional Policy Gradient Algorithms for Risk-Sensitive Reinforcement Learning

    May 23, 2024Xian Yu, Minheng Xiao, Lei YingStochastic OptimizationDistributional RL

    Department of Integrated Systems Engineering, The Ohio State University, Columbus, OH, USA · Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA