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Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

21 January 2021
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
ArXiv (abs)PDFHTMLGithub (65★)

Papers citing "Robust Reinforcement Learning on State Observations with Learned Optimal Adversary"

50 / 95 papers shown
Title
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Kosuke Nakanishi
Akihiro Kubo
Yuji Yasui
Shin Ishii
AAMLOffRL
10
0
0
20 Jun 2025
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
Xue Zhou
Dapeng Man
Chen Xu
Fanyi Zeng
Tao Liu
Huan Wang
Shucheng He
Chaoyang Gao
Wu Yang
OffRL
18
0
0
12 Jun 2025
Towards Robust Deep Reinforcement Learning against Environmental State Perturbation
Chenxu Wang
Huaping Liu
AAML
13
0
0
10 Jun 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
Chan Kim
Seung-Woo Seo
Seong-Woo Kim
OODD
457
0
0
21 Mar 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
OODOffRL
90
2
0
27 Feb 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted
  Behaviors
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Fengshuo Bai
Runze Liu
Yali Du
Ying Wen
Yaodong Yang
AAML
120
5
0
14 Dec 2024
Provably Efficient Action-Manipulation Attack Against Continuous
  Reinforcement Learning
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Zhi Luo
Xiaoyu Yang
Pan Zhou
D. Wang
AAML
108
0
0
20 Nov 2024
Survival of the Fittest: Evolutionary Adaptation of Policies for
  Environmental Shifts
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts
Sheryl Paul
Jyotirmoy V. Deshmukh
62
0
0
22 Oct 2024
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
76
0
0
08 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via
  Vector Quantization
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
Tung M. Luu
Thanh Nguyen
Tee Joshua Tian Jin
Sungwoon Kim
Chang D. Yoo
AAML
75
0
0
04 Oct 2024
Upper and Lower Bounds for Distributionally Robust Off-Dynamics
  Reinforcement Learning
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning
Zhishuai Liu
Weixin Wang
Pan Xu
92
5
0
30 Sep 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
Kosuke Nakanishi
Akihiro Kubo
Yuji Yasui
Shin Ishii
69
0
0
31 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement
  Learning
On the Perturbed States for Transformed Input-robust Reinforcement Learning
Tung M. Luu
Haeyong Kang
Matthew Groh
Thanh Nguyen
Chang D. Yoo
OODAAMLOffRL
61
0
0
31 Jul 2024
A Novel Bifurcation Method for Observation Perturbation Attacks on
  Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical
  Power System
A Novel Bifurcation Method for Observation Perturbation Attacks on Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical Power System
Kiernan Broda-Milian
Ranwa Al-Mallah
H. Dagdougui
AAML
63
0
0
06 Jul 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL
  Agents
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
Chung-En Sun
Sicun Gao
Tsui-Wei Weng
AAML
52
4
0
26 Jun 2024
RRLS : Robust Reinforcement Learning Suite
RRLS : Robust Reinforcement Learning Suite
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OffRL
77
2
0
12 Jun 2024
Time-Constrained Robust MDPs
Time-Constrained Robust MDPs
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OOD
66
1
0
12 Jun 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with
  Adversarial Attacks and Defenses
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
Thanh Nguyen
Tung M. Luu
Tri Ton
Chang D. Yoo
OffRLAAML
84
0
0
18 May 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Xulin Chen
Ruipeng Liu
Garret E. Katz
74
0
0
22 Apr 2024
Unifying Qualitative and Quantitative Safety Verification of
  DNN-Controlled Systems
Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems
Dapeng Zhi
Peixin Wang
Si Liu
C.-H. Luke Ong
Min Zhang
96
7
0
02 Apr 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State
  Perturbations
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Xiaolin Sun
Zizhan Zheng
OnRL
70
1
0
06 Mar 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable
  Efficiency with Linear Function Approximation
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
Zhishuai Liu
Pan Xu
OODOffRL
83
11
0
23 Feb 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via
  Non-dominated Policies
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu
Chenghao Deng
Yanchao Sun
Yongyuan Liang
Furong Huang
AAML
81
6
0
20 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement
  Learning: Theory and Empirical Evidence
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
Jiafei Lyu
Le Wan
Xiu Li
Zongqing Lu
CMLOffRL
92
2
0
05 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman
  Infinity-error
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
Haoran Li
Zicheng Zhang
Wang Luo
Congying Han
Yudong Hu
Tiande Guo
Shichen Liao
AAML
126
2
0
03 Feb 2024
Camouflage Adversarial Attacks on Multiple Agent Systems
Camouflage Adversarial Attacks on Multiple Agent Systems
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
62
1
0
30 Jan 2024
Adaptive Discounting of Training Time Attacks
Adaptive Discounting of Training Time Attacks
Ridhima Bector
Abhay M. S. Aradhya
Chai Quek
Zinovi Rabinovich
AAML
78
0
0
05 Jan 2024
Improve Robustness of Reinforcement Learning against Observation
  Perturbations via $l_\infty$ Lipschitz Policy Networks
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞l_\inftyl∞​ Lipschitz Policy Networks
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
71
4
0
14 Dec 2023
Optimal Attack and Defense for Reinforcement Learning
Optimal Attack and Defense for Reinforcement Learning
Jeremy McMahan
Young Wu
Xiaojin Zhu
Qiaomin Xie
AAMLOffRL
64
10
0
30 Nov 2023
One is More: Diverse Perspectives within a Single Network for Efficient
  DRL
One is More: Diverse Perspectives within a Single Network for Efficient DRL
Yiqin Tan
Ling Pan
Longbo Huang
OffRL
73
0
0
21 Oct 2023
Towards Robust Offline Reinforcement Learning under Diverse Data
  Corruption
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Rui Yang
Han Zhong
Jiawei Xu
Amy Zhang
Chong Zhang
Lei Han
Tong Zhang
OffRLOnRL
86
18
0
19 Oct 2023
Robust Multi-Agent Reinforcement Learning via Adversarial
  Regularization: Theoretical Foundation and Stable Algorithms
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
Alexander Bukharin
Yan Li
Yue Yu
Qingru Zhang
Zhehui Chen
Simiao Zuo
Chao Zhang
Songan Zhang
Tuo Zhao
OODAAML
80
19
0
16 Oct 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Yuxin Pan
Yize Chen
Fangzhen Lin
OffRL
75
12
0
06 Oct 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval
Aayush Mishra
Simon S. Du
OffRL
66
0
0
28 Sep 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart
  Grid: A Review
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review
Zhenyong Zhang
Mengxiang Liu
Mingyang Sun
Ruilong Deng
Peng Cheng
Dusit Niyato
Mo-Yuen Chow
Jiming Chen
107
47
0
30 Aug 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He
Songyang Han
Sanbao Su
Shuo Han
Shaofeng Zou
Fei Miao
OOD
77
46
0
30 Jul 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
Stephen Marcus McAleer
OOD
70
0
0
22 Jul 2023
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement
  Learning-Based Autonomous Systems
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
Zishen Wan
Nandhini Chandramoorthy
Karthik Swaminathan
Pin-Yu Chen
Vijay Janapa Reddi
A. Raychowdhury
69
8
0
19 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
100
21
0
15 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo
Guanjun Liu
Ziyuan Zhou
Ling Wang
Jiacun Wang
AAML
58
8
0
03 Jul 2023
Robust Reinforcement Learning through Efficient Adversarial Herding
Robust Reinforcement Learning through Efficient Adversarial Herding
Juncheng Dong
Hao-Lun Hsu
Qitong Gao
Vahid Tarokh
Miroslav Pajic
76
4
0
12 Jun 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State
  Perturbations on Critical Agents
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
Ziyuan Zhou
Guanjun Liu
AAML
76
8
0
09 Jun 2023
Solving Robust MDPs through No-Regret Dynamics
Solving Robust MDPs through No-Regret Dynamics
E. Guha
60
0
0
30 May 2023
Online Nonstochastic Model-Free Reinforcement Learning
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai
Arushi Gupta
Wenhan Xia
Karan Singh
Elad Hazan
OffRL
92
6
0
27 May 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and
  Provable Defense in RL
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu
Souradip Chakraborty
Yanchao Sun
Furong Huang
AAML
66
5
0
27 May 2023
The Curious Price of Distributional Robustness in Reinforcement Learning
  with a Generative Model
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Laixi Shi
Gen Li
Yuting Wei
Yuxin Chen
Matthieu Geist
Yuejie Chi
OOD
83
38
0
26 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary
  adversarial attackers
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Lei Yuan
Zifei Zhang
Ke Xue
Hao Yin
F. Chen
Cong Guan
Lihe Li
Chao Qian
Yang Yu
AAML
88
17
0
10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
100
10
0
09 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial
  Policy
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Jiawei Zhao
Xingjun Ma
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
66
1
0
04 May 2023
Can Agents Run Relay Race with Strangers? Generalization of RL to
  Out-of-Distribution Trajectories
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Li-Cheng Lan
Huan Zhang
Cho-Jui Hsieh
OODD
68
10
0
26 Apr 2023
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