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RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
9 September 2022
J. Hau
Marek Petrik
Mohammad Ghavamzadeh
R. Russel
Re-assign community
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Papers citing
"RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk"
21 / 21 papers shown
Title
Twice regularized MDPs and the equivalence between robustness and regularization
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Matthieu Geist
Shie Mannor
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Risk-Averse Decision Making Under Uncertainty
M. Ahmadi
Ugo Rosolia
M. Ingham
R. Murray
Aaron D. Ames
68
7
0
09 Sep 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed
Daniel S. Brown
Satvik Sharma
Jerry Zhu
Ashwin Balakrishna
Marek Petrik
Anca Dragan
Ken Goldberg
108
16
0
11 Jun 2021
Constrained Risk-Averse Markov Decision Processes
M. Ahmadi
Ugo Rosolia
M. Ingham
R. Murray
Aaron D. Ames
152
28
0
04 Dec 2020
Risk-Sensitive Motion Planning using Entropic Value-at-Risk
Anushri Dixit
M. Ahmadi
J. W. Burdick
87
28
0
23 Nov 2020
Bayesian Robust Optimization for Imitation Learning
Daniel S. Brown
S. Niekum
Marek Petrik
67
33
0
24 Jul 2020
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
Yingjie Fei
Zhuoran Yang
Yudong Chen
Zhaoran Wang
Qiaomin Xie
54
67
0
22 Jun 2020
Partial Policy Iteration for L1-Robust Markov Decision Processes
C. Ho
Marek Petrik
W. Wiesemann
111
54
0
16 Jun 2020
Entropic Risk Measure in Policy Search
David Nass
Boris Belousov
Jan Peters
65
28
0
21 Jun 2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification
D. Mankowitz
Nir Levine
Rae Jeong
Yuanyuan Shi
Jackie Kay
A. Abdolmaleki
Jost Tobias Springenberg
Timothy A. Mann
Todd Hester
Martin Riedmiller
OOD
118
122
0
18 Jun 2019
Epistemic Risk-Sensitive Reinforcement Learning
Hannes Eriksson
Christos Dimitrakakis
122
29
0
14 Jun 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik
R. Russel
70
61
0
20 Feb 2019
A Theory of Regularized Markov Decision Processes
Matthieu Geist
B. Scherrer
Olivier Pietquin
133
332
0
31 Jan 2019
Soft-Robust Actor-Critic Policy-Gradient
E. Derman
D. Mankowitz
Timothy A. Mann
Shie Mannor
55
64
0
11 Mar 2018
A unified view of entropy-regularized Markov decision processes
Gergely Neu
Anders Jonsson
Vicencc Gómez
101
264
0
22 May 2017
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow
Mohammad Ghavamzadeh
Lucas Janson
Marco Pavone
91
516
0
05 Dec 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow
Aviv Tamar
Shie Mannor
Marco Pavone
128
321
0
06 Jun 2015
Policy Gradient for Coherent Risk Measures
Aviv Tamar
Yinlam Chow
Mohammad Ghavamzadeh
Shie Mannor
60
120
0
13 Feb 2015
Algorithms for CVaR Optimization in MDPs
Yinlam Chow
Mohammad Ghavamzadeh
88
200
0
12 Jun 2014
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes
Marek Petrik
D. Subramanian
75
32
0
16 Oct 2012
Iterated risk measures for risk-sensitive Markov decision processes with discounted cost
Takayuki Osogami
61
21
0
14 Feb 2012
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