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2205.05138
Cited By
Efficient Risk-Averse Reinforcement Learning
10 May 2022
Ido Greenberg
Yinlam Chow
Mohammad Ghavamzadeh
Shie Mannor
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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
28
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
14
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
13
0
0
02 Feb 2022
Continuous Forecasting via Neural Eigen Decomposition
Stav Belogolovsky
Ido Greenberg
Danny Eitan
Shie Mannor
AI4TS
8
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
26
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
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