Risk-Averse Offline Reinforcement Learning

10 February 2021

Papers citing "Risk-Averse Offline Reinforcement Learning"

50 / 53 papers shown

Title
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 125 0 0 01 May 2025
Risk-averse policies for natural gas futures trading using distributional reinforcement learning Félicien Hêche Biagio Nigro Oussama Barakat Stephan Robert-Nicoud OffRL 90 0 0 08 Jan 2025
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 172 0 0 27 Oct 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning Dake Zhang Boxiang Lyu Shuang Qiu Mladen Kolar Tong Zhang OffRL 80 0 0 10 Jul 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 111 0 0 11 Jun 2024
Causal Action Influence Aware Counterfactual Data Augmentation Núria Armengol Urpí Marco Bagatella Marin Vlastelica Georg Martius CML 66 5 0 29 May 2024
Risk-averse Learning with Non-Stationary Distributions Siyi Wang Zifan Wang Xinlei Yi Michael M. Zavlanos Karl H. Johansson Sandra Hirche 49 1 0 03 Apr 2024
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning Xiaocong Chen Siyu Wang Tong Yu Lina Yao OffRL 70 1 0 26 Mar 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation Yu Chen Xiangcheng Zhang Siwei Wang Longbo Huang 82 3 0 28 Feb 2024
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts Tobias Enders James Harrison Maximilian Schiffer OOD 99 5 0 15 Feb 2024
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games Hafez Ghaemi Hamed Kebriaei Alireza Ramezani Moghaddam Majid Nili Ahamadabadi 80 1 0 08 Feb 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 107 1 0 17 Jan 2024
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization Siqi Shen Chennan Ma Chao Li Weiquan Liu Yongquan Fu Songzhu Mei Xinwang Liu Cheng-Yu Wang 62 13 0 03 Nov 2023
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 87 12 0 25 Sep 2023
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory NS KarthikSomayaji Yu Wang M. Schram Ján Drgoňa M. Halappanavar Frank Liu Peng Li 93 2 0 24 Aug 2023
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning Jiyuan Shi Chenjia Bai Haoran He Lei Han Dong Wang Bin Zhao Mingguo Zhao Xiuyang Li Xuelong Li OffRL OOD 80 9 0 18 Aug 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 122 2 0 21 Jul 2023
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version) Xiaotong Ji Antonio Filieri OffRL 96 1 0 10 Jul 2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved? Ruiwen Zhou Minghuan Liu Kan Ren Xufang Luo Weinan Zhang Dongsheng Li 49 3 0 02 Jul 2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm Wensong Bai Chao Zhang Yichao Fu Lingwei Peng Hui Qian Bin Dai 73 1 0 11 Jun 2023
Multiple-stopping time Sequential Detection for Energy Efficient Mining in Blockchain-Enabled IoT Anurag Gupta Vikram Krishnamurthy 53 0 0 09 May 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 47 2 0 21 Apr 2023
Decision-Making Under Uncertainty: Beyond Probabilities Thom S. Badings T. D. Simão Marnix Suilen N. Jansen UD PER 70 12 0 10 Mar 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR Kaiwen Wang Nathan Kallus Wen Sun 161 20 0 07 Feb 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 88 10 0 28 Jan 2023
Risk-Sensitive Policy with Distributional Reinforcement Learning Thibaut Théate D. Ernst OffRL 134 7 0 30 Dec 2022
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning Marc Rigter Bruno Lacerda Nick Hawes OffRL 96 7 0 30 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 76 6 0 27 Oct 2022
Beyond Bayes-optimality: meta-learning what you know you don't know Jordi Grau-Moya Grégoire Delétang M. Kunesch Tim Genewein Elliot Catt ... Jane X. Wang Marcus Hutter Christopher Summerfield Shane Legg Pedro A. Ortega 49 1 0 30 Sep 2022
DCE: Offline Reinforcement Learning With Double Conservative Estimates Chen Zhao K. Huang Chun yuan OffRL 73 1 0 27 Sep 2022
Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping Hao Sun Lei Han Rui Yang Xiaoteng Ma Jian Guo Bolei Zhou OffRL OnRL 82 11 0 15 Sep 2022
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity Christian Frohlich Robert C. Williamson 66 5 0 05 Aug 2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control T. Kanazawa Haiyan Wang Chetan Gupta UQCV 99 4 0 27 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 123 68 0 20 Jul 2022
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients Thesath Nanayakkara OOD OffRL 64 0 0 17 Jul 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning Shentao Yang Yihao Feng Shujian Zhang Mi Zhou OffRL 98 12 0 14 Jun 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 80 7 0 14 Jun 2022
User-Interactive Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 112 11 0 21 May 2022
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation Jongmin Lee Cosmin Paduraru D. Mankowitz N. Heess Doina Precup Kee-Eung Kim A. Guez OffRL 72 55 0 19 Apr 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu E. Kampen Guido de Croon 67 16 0 28 Mar 2022
Distributionally Robust Optimization via Ball Oracle Acceleration Y. Carmon Danielle Hausler 75 13 0 24 Mar 2022
Risk-Averse No-Regret Learning in Online Convex Games Zifan Wang Yi Shen Michael M. Zavlanos OffRL 45 8 0 16 Mar 2022
Uncertainty Estimation for Language Reward Models Adam Gleave G. Irving UQLM 84 34 0 14 Mar 2022
A Behavior Regularized Implicit Policy for Offline Reinforcement Learning Shentao Yang Zhendong Wang Huangjie Zheng Yihao Feng Mingyuan Zhou OffRL 64 9 0 19 Feb 2022
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning Phillip Swazinna Steffen Udluft D. Hein Thomas Runkler OffRL 67 26 0 14 Jan 2022
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 93 6 0 26 Nov 2021
Two steps to risk sensitivity Christian Gagné Peter Dayan 61 10 0 12 Nov 2021
Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach Changyin Sun Lijun Sun 58 8 0 02 Nov 2021
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures S. Marzban Erick Delage Jonathan Yu-Meng Li 50 3 0 09 Sep 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 75 638 0 13 Aug 2021