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1902.08708
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Distributionally Robust Reinforcement Learning
23 February 2019
E. Smirnova
Elvis Dohmatob
Jérémie Mary
OffRL
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Papers citing
"Distributionally Robust Reinforcement Learning"
42 / 42 papers shown
Distributionally Robust Self Paced Curriculum Reinforcement Learning
Anirudh Satheesh
Keenan Powell
Vaneet Aggarwal
OOD
OffRL
501
0
0
07 Nov 2025
Distributionally Robust Optimization via Diffusion Ambiguity Modeling
Jiaqi Wen
Jianyi Yang
119
2
0
26 Oct 2025
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
Woohyeon Byeon
Giseung Park
Jongseong Chae
Amir Leshem
Y. Sung
215
1
0
23 Oct 2025
Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
Shaocong Ma
Heng Huang
OOD
AIFin
OffRL
331
0
0
22 Oct 2025
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As
Chengrui Qu
Benjamin Unger
Dongho Kang
Max van der Hart
Laixi Shi
Stelian Coros
Adam Wierman
Andreas Krause
OffRL
344
2
0
23 Sep 2025
Distributionally Robust Deep Q-Learning
Chung I Lu
Julian Sester
Aijia Zhang
OOD
351
2
0
25 May 2025
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
Marin Šola
Peter Bühlmann
Xinwei Shen
OOD
329
3
0
19 May 2025
Distributionally Robust Federated Learning: An ADMM Algorithm
Wen Bai
Yi Wong
Xiao Qiao
Chin Pang Ho
FedML
OOD
334
0
0
24 Mar 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
International Conference on Learning Representations (ICLR), 2025
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
OOD
OffRL
444
11
0
27 Feb 2025
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts
European Conference on Artificial Intelligence (ECAI), 2024
Sheryl Paul
Jyotirmoy V. Deshmukh
158
0
0
22 Oct 2024
Robust Reinforcement Learning with Dynamic Distortion Risk Measures
Anthony Coache
S. Jaimungal
388
2
0
16 Sep 2024
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes
He Wang
Laixi Shi
Yuejie Chi
OffRL
438
15
0
19 Mar 2024
ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization
Yao Zhao
Tao Wu
Yijie Zhu
Xiang Lu
Jun Wang
Haitham Bou-Ammar
Xinyu Zhang
Peng Du
178
6
0
04 Mar 2024
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
Neural Information Processing Systems (NeurIPS), 2023
Taehyun Cho
Seung Han
Heesoo Lee
Kyungjae Lee
Jungwoo Lee
452
9
0
25 Oct 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
228
4
0
24 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Neural Information Processing Systems (NeurIPS), 2023
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
378
36
0
15 Jul 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Neural Information Processing Systems (NeurIPS), 2023
Laixi Shi
Gen Li
Yuting Wei
Yuxin Chen
Matthieu Geist
Yuejie Chi
OOD
450
53
0
26 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Yuan
Zifei Zhang
Ke Xue
Hao Yin
F. Chen
Cong Guan
Lihe Li
Chao Qian
Yang Yu
AAML
267
29
0
10 May 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
...
Kuan-Hui Lee
Xuewei Qi
Henry Lam
Yue Liu
Ding Zhao
OOD
218
9
0
21 Oct 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
Neural Information Processing Systems (NeurIPS), 2022
Kaiyang Guo
Yunfeng Shao
Yanhui Geng
OffRL
231
30
0
13 Oct 2022
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization
American Control Conference (ACC), 2022
Kehan Long
Yinzhuang Yi
Jorge Cortés
Nikolay Atanasov
171
10
0
04 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Yue Liu
Ding Zhao
411
51
0
16 Sep 2022
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
Journal of machine learning research (JMLR), 2022
Laixi Shi
Yuejie Chi
OOD
OffRL
444
93
0
11 Aug 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation
Pierre Clavier
S. Allassonnière
E. L. Pennec
OOD
196
9
0
14 Jun 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
International Conference on Learning Representations (ICLR), 2022
Tu Bui
Trung Le
Quan Hung Tran
He Zhao
Dinh Q. Phung
AAML
OOD
223
53
0
27 Feb 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
International Conference on Machine Learning (ICML), 2022
Nathan Kallus
Xiaojie Mao
Kaiwen Wang
Zhengyuan Zhou
OOD
OffRL
287
37
0
19 Feb 2022
Learning Provably Robust Motion Planners Using Funnel Libraries
Alim Gurgen
Anirudha Majumdar
Sushant Veer
OOD
156
3
0
16 Nov 2021
Sinkhorn Distributionally Robust Optimization
Operational Research (OR), 2021
Jie Wang
Rui Gao
Yao Xie
548
51
0
24 Sep 2021
Robust Risk-Aware Reinforcement Learning
SIAM Journal on Financial Mathematics (SIFIN), 2021
S. Jaimungal
Silvana M. Pesenti
Ye Wang
Hariom Tatsat
318
38
0
23 Aug 2021
Towards Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics
Wenhao Yang
Liangyu Zhang
Zhihua Zhang
252
34
0
09 May 2021
Robust Reinforcement Learning under model misspecification
Lebin Yu
Jian Wang
Xudong Zhang
OOD
161
2
0
29 Mar 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Vincent Zhuang
Yanan Sui
849
14
0
25 Feb 2021
Robust Batch Policy Learning in Markov Decision Processes
Zhengling Qi
Peng Liao
OffRL
280
4
0
09 Nov 2020
Learning to be Safe: Deep RL with a Safety Critic
K. Srinivasan
Benjamin Eysenbach
Sehoon Ha
Jie Tan
Chelsea Finn
OffRL
244
170
0
27 Oct 2020
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality
Operational Research (OR), 2020
Rui Gao
385
114
0
09 Sep 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
International Conference on Machine Learning (ICML), 2020
Aman Sinha
Matthew O'Kelly
Hongrui Zheng
Rahul Mangharam
John C. Duchi
Russ Tedrake
OffRL
319
27
0
09 Mar 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
349
185
0
27 Jan 2020
Distributionally Robust Bayesian Quadrature Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Thanh Tang Nguyen
Sunil R. Gupta
Huong Ha
Santu Rana
Svetha Venkatesh
133
29
0
19 Jan 2020
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion
Bo Zhou
Hongsheng Zeng
Fan Wang
Yunxiang Li
Hao Tian
122
18
0
10 Dec 2019
Biased Estimates of Advantages over Path Ensembles
Lanxin Lei
Zhizhong Li
Dahua Lin
OffRL
103
0
0
15 Sep 2019
Distributionally Robust Optimization: A Review
Open Journal of Mathematical Optimization (OJMO), 2019
Hamed Rahimian
Sanjay Mehrotra
306
210
0
13 Aug 2019
A Distributionally Robust Boosting Algorithm
Online World Conference on Soft Computing in Industrial Applications (WSCIA), 2019
Jose H. Blanchet
Yang Kang
Fan Zhang
Zhangyi Hu
147
8
0
20 May 2019
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