Efficient Risk-Averse Reinforcement Learning

10 May 2022

Papers citing "Efficient Risk-Averse Reinforcement Learning"

31 / 31 papers shown

Title
Online Episodic Convex Reinforcement Learning B. Moreno Khaled Eldowa Pierre Gaillard Margaux Brégère Nadia Oudjane OffRL 17 0 0 12 May 2025
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation Harry Mead Clarissa Costen Bruno Lacerda Nick Hawes 22 0 0 29 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 85 0 0 27 Apr 2025
Measures of Variability for Risk-averse Policy Gradient Yudong Luo Yangchen Pan Jiaqi Tan Pascal Poupart 28 0 0 15 Apr 2025
Safety Representations for Safer Policy Learning Kaustubh Mani Vincent Mai Charlie Gauthier Annie Chen Samer Nashed Liam Paull 38 0 0 27 Feb 2025
Risk-averse policies for natural gas futures trading using distributional reinforcement learning Félicien Hêche Biagio Nigro Oussama Barakat Stephan Robert-Nicoud OffRL 39 0 0 08 Jan 2025
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning Mehrdad Moghimi Hyejin Ku OffRL 33 0 0 03 Jan 2025
Neuromodulated Meta-Learning Jingyao Wang Huijie Guo Wenwen Qiang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 59 0 0 11 Nov 2024
Risk-averse learning with delayed feedback Siyi Wang Zifan Wang Karl Henrik Johansson Sandra Hirche 21 0 0 25 Sep 2024
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation Taehyun Cho Seung Han Kyungjae Lee Seokhun Ju Dohyeong Kim Jungwoo Lee 59 0 0 31 Jul 2024
Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradients Parisa Davar Frédéric Godin Jose Garrido 16 1 0 21 Jun 2024
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving Jonathan Booher Khashayar Rohanimanesh Junhong Xu Vladislav Isenbaev Ashwin Balakrishna Ishan Gupta Wei Liu Aleksandr Petiushko OffRL 24 6 0 13 Jun 2024
Bootstrapping Expectiles in Reinforcement Learning Pierre Clavier Emmanuel Rachelson E. L. Pennec Matthieu Geist OffRL 38 0 0 06 Jun 2024
Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk Xinyi Ni Lifeng Lai 31 0 0 02 May 2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification Prithvi Akella Anushri Dixit M. Ahmadi Lars Lindemann Margaret P. Chapman George J. Pappas Aaron D. Ames J. W. Burdick 29 5 0 27 Mar 2024
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization Yudong Luo Yangchen Pan Han Wang Philip H. S. Torr Pascal Poupart 29 3 0 17 Mar 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 31 1 0 17 Jan 2024
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory NS KarthikSomayaji Yu Wang M. Schram Ján Drgoňa M. Halappanavar Frank Liu Peng Li 17 0 0 24 Aug 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Yudong Luo Guiliang Liu Pascal Poupart Yangchen Pan 16 10 0 17 Jul 2023
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning Tyler Kastner Murat A. Erdogdu Amir-massoud Farahmand OffRL 6 4 0 04 Jul 2023
Individualized Dosing Dynamics via Neural Eigen Decomposition Stav Belogolovsky Ido Greenberg Danny Eytan Shie Mannor 22 0 0 24 Jun 2023
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel Kaixin Wang Uri Gadot Navdeep Kumar Kfir Y. Levy Shie Mannor 26 2 0 09 Jun 2023
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages Andrew Jesson Chris Xiaoxuan Lu Gunshi Gupta Angelos Filos Jakob N. Foerster Y. Gal OffRL 12 5 0 02 Jun 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 19 6 0 26 Jan 2023
Risk-Sensitive Reinforcement Learning with Exponential Criteria Erfaun Noorani Christos N. Mavridis John S. Baras 25 8 0 18 Dec 2022
Learning to reason about and to act on physical cascading events Y. Atzmon E. Meirom Shie Mannor Gal Chechik LRM 15 0 0 02 Feb 2022
Continuous Forecasting via Neural Eigen Decomposition Stav Belogolovsky Ido Greenberg Danny Eitan Shie Mannor AI4TS 11 2 0 31 Jan 2022
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning Yingjie Fei Zhuoran Yang Yudong Chen Zhaoran Wang 29 46 0 06 Nov 2021
Learning Stochastic Shortest Path with Linear Function Approximation Steffen Czolbe Jiafan He Adrian V. Dalca Quanquan Gu 27 30 0 25 Oct 2021
Reinforcement Learning for Datacenter Congestion Control Chen Tessler Yuval Shpigelman Gal Dalal Amit Mandelbaum Doron Haritan Kazakov Benjamin Fuhrer Gal Chechik Shie Mannor 32 32 0 18 Feb 2021
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 62 310 0 06 Jun 2015