Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

12 October 2022

Furong Huang

Papers citing "Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning"

26 / 26 papers shown

Title
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors Fengshuo Bai Runze Liu Yali Du Ying Wen Yaodong Yang AAML 85 3 0 14 Dec 2024
Optimizing Sensor Redundancy in Sequential Decision-Making Problems Jonas Nüßlein Maximilian Zorn Fabian Ritz Jonas Stein Gerhard Stenzel Julian Schonberger Thomas Gabor Claudia Linnhoff-Popien 72 0 0 10 Dec 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 1 0 19 Oct 2024
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 28 0 0 04 Oct 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 45 0 0 31 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning Tung M. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 26 0 0 31 Jul 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents Chung-En Sun Sicun Gao Tsui-Wei Weng AAML 26 3 0 26 Jun 2024
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation Shojiro Yamabe Kazuto Fukuchi Jun Sakuma AAML 63 0 0 06 Jun 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations Xiaolin Sun Zizhan Zheng OnRL 32 1 0 06 Mar 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 35 4 0 20 Feb 2024
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 34 2 0 03 Feb 2024
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 37 4 0 14 Dec 2023
Safe Reinforcement Learning in Tensor Reproducing Kernel Hilbert Space Xiaoyuan Cheng Boli Chen Liz Varga Yukun Hu 23 0 0 01 Dec 2023
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning Aakriti Agrawal R. Aralikatti Yanchao Sun Furong Huang 23 0 0 12 Oct 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing Yuxin Pan Yize Chen Fangzhen Lin OffRL 43 9 0 06 Oct 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval Aayush Mishra Simon S. Du OffRL 26 0 0 28 Sep 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach T. Sandholm Furong Huang Stephen Marcus McAleer OOD 43 0 0 22 Jul 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Xiangyu Liu Souradip Chakraborty Yanchao Sun Furong Huang AAML 26 4 0 27 May 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 37 2 0 07 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy Jiawei Zhao Xingjun Ma Florian Schäfer Xinyu Wang Anima Anandkumar Cong Wang AAML 26 1 0 04 May 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 23 3 0 14 Feb 2023
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 25 22 0 06 Dec 2022
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives Daniel Jarne Ornia Licio Romao Lewis Hammond M. Mazo Alessandro Abate 14 0 0 30 Sep 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 42 35 0 29 May 2022
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 64 162 0 21 Jan 2021