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Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty

Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty

International Conference on Machine Learning (ICML), 2012
18 June 2012
Shie Mannor
O. Mebel
Huan Xu
ArXiv (abs)PDFHTML

Papers citing "Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty"

31 / 31 papers shown
ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty
ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty
Chenliang Li
Junyu Leng
Jiaxiang Li
Youbang Sun
Shixiang Chen
Shahin Shahrampour
Alfredo García
159
0
0
13 Oct 2025
Online Robust Planning under Model Uncertainty: A Sample-Based Approach
Online Robust Planning under Model Uncertainty: A Sample-Based Approach
Tamir Shazman
Idan Lev-Yehudi
Ron Benchetit
Vadim Indelman
200
0
0
12 Sep 2025
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality
Shaocong Ma
Ziyi Chen
Yi Zhou
Heng Huang
OffRL
307
6
0
24 Aug 2025
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
Navdeep Kumar
Adarsh Gupta
Maxence Mohamed Elfatihi
Giorgia Ramponi
Kfir Y. Levy
Shie Mannor
300
3
0
13 Feb 2025
Solving robust MDPs as a sequence of static RL problems
Solving robust MDPs as a sequence of static RL problems
Adil Zouitine
Matthieu Geist
Emmanuel Rachelson
386
2
0
08 Oct 2024
Reward-Robust RLHF in LLMs
Reward-Robust RLHF in LLMs
Yuzi Yan
Xingzhou Lou
Jialian Li
Yiping Zhang
Jian Xie
Chao Yu
Yu Wang
Dong Yan
Yuan Shen
489
20
0
18 Sep 2024
Percentile Criterion Optimization in Offline Reinforcement Learning
Percentile Criterion Optimization in Offline Reinforcement Learning
Elita Lobo
Cyrus Cousins
Yair Zick
Marek Petrik
OffRL
299
5
0
07 Apr 2024
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
Solving Non-Rectangular Reward-Robust MDPs via Frequency RegularizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Uri Gadot
E. Derman
Navdeep Kumar
Maxence Mohamed Elfatihi
Kfir Y. Levy
Shie Mannor
476
10
0
03 Sep 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled
  Perturbations
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Xiangyu Liu
Benjamin Eysenbach
Tuomas Sandholm
Furong Huang
Alexander Shmakov
OOD
257
0
0
22 Jul 2023
Twice Regularized Markov Decision Processes: The Equivalence between
  Robustness and Regularization
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
E. Derman
Yevgeniy Men
Matthieu Geist
Shie Mannor
273
2
0
12 Mar 2023
Online Policy Optimization for Robust MDP
Online Policy Optimization for Robust MDP
Jing Dong
Jingwei Li
Baoxiang Wang
J.N. Zhang
OffRL
375
19
0
28 Sep 2022
Robust Reinforcement Learning via Genetic Curriculum
Robust Reinforcement Learning via Genetic CurriculumIEEE International Conference on Robotics and Automation (ICRA), 2022
Yeeho Song
J. Schneider
207
9
0
17 Feb 2022
The Geometry of Robust Value Functions
The Geometry of Robust Value FunctionsInternational Conference on Machine Learning (ICML), 2022
Kaixin Wang
Navdeep Kumar
Kuangqi Zhou
Bryan Hooi
Jiashi Feng
Shie Mannor
AAML
187
7
0
30 Jan 2022
Robust Entropy-regularized Markov Decision Processes
Robust Entropy-regularized Markov Decision Processes
Tien Mai
Patrick Jaillet
167
6
0
31 Dec 2021
Twice regularized MDPs and the equivalence between robustness and
  regularization
Twice regularized MDPs and the equivalence between robustness and regularizationNeural Information Processing Systems (NeurIPS), 2021
E. Derman
Matthieu Geist
Shie Mannor
366
62
0
12 Oct 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement
  Learning
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette
Martin J. Wainwright
Emma Brunskill
OffRL
353
134
0
19 Aug 2021
Towards Theoretical Understandings of Robust Markov Decision Processes:
  Sample Complexity and Asymptotics
Towards Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics
Wenhao Yang
Liangyu Zhang
Zhihua Zhang
299
36
0
09 May 2021
Soft-Robust Algorithms for Batch Reinforcement Learning
Soft-Robust Algorithms for Batch Reinforcement Learning
Elita Lobo
Mohammad Ghavamzadeh
Marek Petrik
OffRL
434
4
0
30 Nov 2020
Partial Policy Iteration for L1-Robust Markov Decision Processes
Partial Policy Iteration for L1-Robust Markov Decision Processes
C. Ho
Marek Petrik
W. Wiesemann
365
60
0
16 Jun 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement
  Learning
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020
Nathan Kallus
Angela Zhou
OffRL
267
68
0
11 Feb 2020
Optimizing Percentile Criterion Using Robust MDPs
Optimizing Percentile Criterion Using Robust MDPs
Bahram Behzadian
R. Russel
Marek Petrik
Chin Pang Ho
323
4
0
23 Oct 2019
Biased Estimates of Advantages over Path Ensembles
Biased Estimates of Advantages over Path Ensembles
Lanxin Lei
Zhizhong Li
Dahua Lin
OffRL
125
0
0
15 Sep 2019
Epistemic Risk-Sensitive Reinforcement Learning
Epistemic Risk-Sensitive Reinforcement LearningThe European Symposium on Artificial Neural Networks (ESANN), 2019
Hannes Eriksson
Christos Dimitrakakis
281
30
0
14 Jun 2019
A Bayesian Approach to Robust Reinforcement Learning
A Bayesian Approach to Robust Reinforcement LearningConference on Uncertainty in Artificial Intelligence (UAI), 2019
E. Derman
D. Mankowitz
Timothy A. Mann
Shie Mannor
276
72
0
20 May 2019
Distributionally Robust Reinforcement Learning
Distributionally Robust Reinforcement Learning
E. Smirnova
Elvis Dohmatob
Jérémie Mary
OffRL
370
70
0
23 Feb 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik
R. Russel
255
66
0
20 Feb 2019
Action Robust Reinforcement Learning and Applications in Continuous
  Control
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler
Yonathan Efroni
Shie Mannor
402
285
0
26 Jan 2019
Tight Bayesian Ambiguity Sets for Robust MDPs
Tight Bayesian Ambiguity Sets for Robust MDPs
R. Russel
Marek Petrik
114
4
0
15 Nov 2018
Soft-Robust Actor-Critic Policy-Gradient
Soft-Robust Actor-Critic Policy-GradientConference on Uncertainty in Artificial Intelligence (UAI), 2018
E. Derman
D. Mankowitz
Timothy A. Mann
Shie Mannor
197
69
0
11 Mar 2018
Fairness in Reinforcement Learning
Fairness in Reinforcement Learning
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
448
222
0
09 Nov 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization ApproachNeural Information Processing Systems (NeurIPS), 2015
Yinlam Chow
Aviv Tamar
Shie Mannor
Marco Pavone
427
377
0
06 Jun 2015
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