Robust Deep Reinforcement Learning through Adversarial Loss

5 August 2020

Papers citing "Robust Deep Reinforcement Learning through Adversarial Loss"

50 / 55 papers shown

Title
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation Youwei Yu Lantao Liu 29 0 0 11 Apr 2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang ... Ling Xiong Hongbin Liang Heming Cui Yong Cui Yue Gao AAML 50 2 0 26 Mar 2025
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation Hongye Cao Fan Feng Jing Huo Shangdong Yang Meng Fang Tianpei Yang Yang Gao AAML OffRL 55 0 0 26 Mar 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 82 1 0 26 Mar 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors Fengshuo Bai Runze Liu Yali Du Ying Wen Yaodong Yang AAML 78 2 0 14 Dec 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization T. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 21 0 0 04 Oct 2024
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances Hanyang Hu Xilun Zhang Xubo Lyu Mo Chen 32 1 0 29 Sep 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 35 0 0 31 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning T. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 21 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 16 2 0 26 Jun 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 30 4 0 19 May 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations Xiaolin Sun Zizhan Zheng OnRL 27 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 22 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 19 2 0 03 Feb 2024
Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales Dapeng Zhi Peixin Wang Cheng Chen Min Zhang 13 0 0 15 Dec 2023
$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 29 2 0 14 Dec 2023
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula Aryaman Reddi Maximilian Tölle Jan Peters Georgia Chalvatzaki Carlo DÉramo 34 4 0 03 Nov 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing Yuxin Pan Yize Chen Fangzhen Lin OffRL 30 9 0 06 Oct 2023
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks Buse G. A. Tekgul Nadarajah Asokan AAML 13 1 0 27 Jul 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 35 0 0 22 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 24 7 0 03 Jul 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Xiangyu Liu Souradip Chakraborty Yanchao Sun Furong Huang AAML 19 4 0 27 May 2023
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 19 16 0 10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation Lei Yuan F. Chen Zhongzhan Zhang Yang Yu AAML 39 10 0 09 May 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 27 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 19 1 0 04 May 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 28 10 0 26 Apr 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 27 0 0 25 Apr 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 21 2 0 14 Feb 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation Chenxi Yang Greg Anderson Swarat Chaudhuri 11 1 0 26 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 8 26 0 17 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 27 5 0 11 Jan 2023
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks Junlin Wu Hussein Sibai Yevgeniy Vorobeychik AAML 14 0 0 28 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 29 4 0 12 Dec 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 20 47 0 12 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 19 14 0 06 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 61 45 0 16 Sep 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents Stephen Casper Taylor Killian Gabriel Kreiman Dylan Hadfield-Menell AAML 12 1 0 05 Sep 2022
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer Stephen McAleer João F. Henriques Jakob N. Foerster Philip H. S. Torr Adel Bibi Christian Schroeder de Witt AAML 11 7 0 20 Jul 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 26 3 0 05 Jul 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 21 10 0 21 Jun 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum Junlin Wu Yevgeniy Vorobeychik 11 20 0 21 Jun 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 30 23 0 15 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 9 2 0 22 Mar 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Bo-wen Li AAML OffRL 11 33 0 16 Mar 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 19 0 0 15 Feb 2022
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash Fiza Husain P. Paruchuri Sujit Gujar OffRL 13 11 0 10 Dec 2021
Learning a subspace of policies for online adaptation in Reinforcement Learning Jean-Baptiste Gaya Laure Soulier Ludovic Denoyer OffRL 19 15 0 11 Oct 2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning You Qiaoben Chengyang Ying Xinning Zhou Hang Su Jun Zhu Bo Zhang AAML 20 14 0 30 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Bo-wen Li AAML OffRL 11 58 0 17 Jun 2021