Risk-Sensitive RL

RL: Reinforcement Learning

Ask about this topic

Momentum

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

Jul 13Week of Sep 28
View on map

Latest papers 58

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. Variance-Averse nn-Step Offline Reinforcement Learning for Sparse Long-Horizon Environments

    Oct 6, 2026Guhyeon Kang, Minhae KwonDistributional RLRisk-Sensitive RL

    Department of Electrical and Computer Engineering Sungkyunkwan University, Republic of Korea

  4. Risk-Sensitive Crowd Navigation with Adaptive Ellipsoidal Conformal Prediction

    Oct 5, 2026Ruihan A. Li, Ziyao Guo, Yingying LiDistribution Shift RobustnessRobot Navigation

    Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL

  5. PPO-HRAP: Proximal Policy Optimization with a Hybrid Regime-Aware Policy for Risk-Controlled Trading

    Oct 1, 2026Duong Hien Chi Kien, Thanh Trung HuynhReinforcement LearningRisk-Sensitive RL

    College of Engineering and Computer Science, VinUniversity Ha Noi, Viet Nam

  6. Exploring More, Reasoning Better: Stepwise Risk-Sensitive GRPO for Diffusion Language Models

    Sep 30, 2026Yue YU, Bowen Zuo, David Crandall +2RL for Language Model ReasoningGroup Relative Policy Optimization

    Indiana University · University of California, Riverside

  7. Robust Risk-Sensitive Reinforcement Learning from Corrupted Human Feedback

    Sep 30, 2026Xinyi Ni, Lifeng LaiRisk-Sensitive RLRobust RL

    Department of Electrical and Computer Engineering, University of California, Davis, CA 95616, USA

  8. Character Training for Risk-Averse Agents

    Sep 29, 2026Arav Dhoot, Punya Syon Pandey, Jamie Johnson +3Risk-Sensitive RLAI Agent Safety

    UK AI Security Institute · Resolution

  9. RSD-Poker: Structure-Adaptive and Shift-Robust Risk-Utility Certification for Residual Policies in Imperfect-Information Games

    Sep 27, 2026Miaobo Hu, Shuhao Hu, Xiaobo Guo +5Distribution Shift RobustnessImperfect-Information Games

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

  10. Robust Adversarial Reinforcement Learning with Risk Sensitivity and Critic Consistency Regularization

    Sep 23, 2026Jiaxi Wu, Tiantian Zhang, Yuxing Wang +2Reinforcement LearningRisk-Sensitive RL

    Shenzhen International Graduate School, Tsinghua University Shenzhen, China

  11. Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations

    Sep 11, 2026Tong Li, Saunak Kumar Panda, Yisha XiangRisk-Sensitive RLAdversarial Perturbations

    Department of Industrial and Systems Engineering, University of Houston, 4302 University Dr, Houston, 77004, TX, USA. · Department of Decision and Information Science, University of Houston, 4302 University Dr, Houston, 77004, TX, USA.

  12. 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

  13. Risk-Conditioned Fine-Tuning of Large Language Models

    Sep 8, 2026Zixuan Liu, Fangzheng Wu, Brian Summa +1Risk-Sensitive RLLLM Safety

    Department of Computer Science, Tulane University, New Orleans, LA, 70118, USA

  14. Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study

    Sep 7, 2026Aayush Patel, Andrzej RuszczyńskiDeep Q-LearningRobot Navigation

    Department of Management Science and Information Systems, Rutgers University

  15. Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification

    Sep 3, 2026Ziqi ZhangRisk-Sensitive RLOOD Detection

    College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China

  16. Tail-Likelihood Reinforcement Learning

    Sep 2, 2026Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar +11Risk-Sensitive RLRL for Generative Models

    Carnegie Mellon University · Together AI · University of California, Berkeley +2

  17. Adaptive Finite-Budget Training for CVaR Risk-Aware Q-Learning

    Aug 5, 2026Yifan Wu, Junjie Lei, Wenjie HuangReinforcement LearningQ-Learning

    Department of Data and Systems Engineering The University of Hong Kong Hong Kong, Hong Kong SAR

  18. Taming the Implicit: Dual-Channel Risk-Aware Reinforcement Fine-Tuning for Continual Multimodal Post-Training

    Aug 4, 2026Yibei Liu, Jiajun Chen, Qianle Zhang +4Multimodal Large Language ModelsRisk-Sensitive RL

    University of Electronic Science and Technology of China · Zhejiang University · South China University of Technology +1

  19. Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning

    Aug 3, 2026Ankur Naskar, Vivek T A, Aditya Kumar +2Reinforcement LearningRisk-Sensitive RL

    Indian Institute of Science, Bengaluru, India · Indian Institute of Technology Madras, Chennai, India

  20. Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL

    Jul 29, 2026Mingxuan Che, Tsung-Yuan Tseng, Theresa Eimer +2Bayesian OptimizationRisk-Sensitive RL

    Leibniz University Hannover · CARIAD SE · University of Wuppertal +2

  21. Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter

    Jul 26, 2026Yuchao Mei, Guohao Zhang, Luxia Ai +2Collision AvoidanceRisk-Sensitive RL

    National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China

  22. Online Policy Evaluation for MDPs with Dynamic UBSR Measures

    Jul 25, 2026Weikai Wang, Erick DelagePolicy EvaluationRisk-Sensitive RL

    GERAD & Department of Decision Sciences, HEC Montr´eal, Canada

  23. Long-Term Sequential Decision Making under Risk

    Jul 22, 2026Irmaan, Mirzanejad, Nadjet Bourdache +1Markov Decision ProcessesDynamic Programming

    Mohammad · Université de Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, France

  24. 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.

  25. A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning

    Jul 15, 2026Yang Liu, Yuhao Liu, Yunran WeiReinforcement LearningRisk-Sensitive RL

    School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), China. · School of Mathematics and Statistics, Carleton University, Canada.

  26. 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

  27. Auditing the Risk Claims of Distributional Reinforcement Learning

    Jul 13, 2026Hari PrasadDistributional RLAlgorithmic Auditing

  28. Risk-Aware General-Utility Markov Decision Processes

    Jul 10, 2026Pedro P. Santos, Fábio Vital, Alberto Sardinha +1Markov Decision ProcessesMarkov Models

    INESC-ID · Instituto Superior Técnico, University of Lisbon · Pontifical Catholic University of Rio de Janeiro

  29. Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization

    Jul 7, 2026Sounaq Das, Tanmay Sen, Raghu Nandan Sengupta +1Multi-Objective Reinforcement LearningRisk-Sensitive RL

    Indian Institute of Management Amritsar · Amritsar, India · SQC & OR Unit +7

  30. RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance

    Jun 26, 2026Shiqiang GongDistributional RLDiffusion-Based Planning

    Northwestern Polytechnical University

  31. Utility-Constrained Policy Optimization

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

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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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.

  38. 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

  39. 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

  40. Pessimistic Risk-Aware Policy Learning in Contextual Bandits

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

  41. 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

  42. 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.

  43. 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

  44. 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

  45. 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

  46. 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

  47. RVPO: Risk-Sensitive Alignment via Variance Regularization

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

    Apple

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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)

  53. 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

  54. 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

  55. 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

  56. Cantelli Constrained Policy Optimization

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

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

  57. 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

  58. 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