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2007.07176
Cited By
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
American Control Conference (ACC), 2020
14 July 2020
Kai Liang Tan
Yasaman Esfandiari
Xian Yeow Lee
Aakanksha
Soumik Sarkar
AAML
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Papers citing
"Robustifying Reinforcement Learning Agents via Action Space Adversarial Training"
25 / 25 papers shown
Policy Disruption in Reinforcement Learning:Adversarial Attack with Large Language Models and Critical State Identification
Junyong Jiang
Buwei Tian
Chenxing Xu
Songze Li
Lu Dong
AAML
172
1
0
24 Jul 2025
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Kosuke Nakanishi
Akihiro Kubo
Yuji Yasui
Shin Ishii
AAML
OffRL
316
0
0
20 Jun 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
471
13
0
27 Feb 2025
Towards a constructive framework for control theory
IEEE Control Systems Letters (L-CSS), 2025
Pavel Osinenko
199
2
0
04 Jan 2025
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Zhi Luo
Xiaoyu Yang
Pan Zhou
D. Wang
AAML
297
1
0
20 Nov 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu
Chenghao Deng
Yanchao Sun
Yongyuan Liang
Furong Huang
AAML
373
12
0
20 Feb 2024
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events
IEEE Open Journal of Intelligent Transportation Systems (JOITS), 2023
Aizaz Sharif
D. Marijan
AAML
206
3
0
28 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
402
38
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
496
54
0
26 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Dependable Systems and Networks (DSN), 2023
Jiawei Zhao
Jiabo He
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
397
5
0
04 May 2023
Decision-Making Under Uncertainty: Beyond Probabilities
International Journal on Software Tools for Technology Transfer (STTT) (STTT), 2023
Thom S. Badings
T. D. Simão
Marnix Suilen
N. Jansen
UD
PER
307
18
0
10 Mar 2023
Regret-Based Defense in Adversarial Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Roman Belaire
Pradeep Varakantham
Thanh Nguyen
David Lo
AAML
386
3
0
14 Feb 2023
Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
Ambra Demontis
Srishti Gupta
Christian Scano
Luca Demetrio
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
403
4
0
12 Dec 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Furong Huang
OOD
AAML
OffRL
275
65
0
12 Oct 2022
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives
Conference on Learning for Dynamics & Control (L4DC), 2022
Daniel Jarne Ornia
Licio Romao
Lewis Hammond
M. Mazo
Alessandro Abate
236
0
0
30 Sep 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents
Stephen Casper
Taylor Killian
Gabriel Kreiman
Dylan Hadfield-Menell
AAML
318
1
0
05 Sep 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier
Alexander Shmakov
Pierre Baldi
Roy Fox
239
11
0
19 Jul 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
IEEE Transactions on Software Engineering (TSE), 2022
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
M. Bagherzadeh
Ramesh S
503
38
0
15 Jun 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
447
6
0
22 Mar 2022
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies
Asia-Pacific Software Engineering Conference (APSEC), 2021
Aizaz Sharif
D. Marijan
AAML
331
26
0
22 Dec 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes
Alessio Russo
Alexandre Proutiere
AAML
258
8
0
15 Sep 2021
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
International Conference on Learning Representations (ICLR), 2021
Yanchao Sun
Ruijie Zheng
Yongyuan Liang
Furong Huang
AAML
463
82
0
09 Jun 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
International Conference on Learning Representations (ICLR), 2021
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
402
208
0
21 Jan 2021
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents
International Conference on Cyber-Physical Systems (ICCPS), 2020
Xian Yeow Lee
Yasaman Esfandiari
Kai Liang Tan
Soumik Sarkar
AAML
229
37
0
13 Nov 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
376
186
0
27 Jan 2020
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