Robust Adversarial Reinforcement Learning

8 March 2017

Papers citing "Robust Adversarial Reinforcement Learning"

50 / 183 papers shown

Title
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning A. Rahman Arnab Bhattacharya Thiagarajan Ramachandran Sayak Mukherjee Himanshu Sharma Ted Fujimoto Samrat Chatterjee 30 5 0 20 Dec 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun-Yen Huang E. Hu Dinesh Jayaraman OffRL 38 5 0 17 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 42 4 0 12 Dec 2022
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 46 2 0 10 Dec 2022
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety Kai Hsu D. Nguyen J. F. Fisac 23 30 0 06 Dec 2022
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
Double Deep Q-Learning in Opponent Modeling Yangtianze Tao J. Doe 26 3 0 24 Nov 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 24 17 0 20 Nov 2022
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity Imon Banerjee Harsha Honnappa Vinayak A. Rao OffRL 11 0 0 14 Nov 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 27 8 0 07 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 22 6 0 27 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 41 24 0 18 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 25 47 0 12 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 29 14 0 06 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 26 21 0 06 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 27 3 0 24 Sep 2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network Sourav Sanyal Kaushik Roy PINN 42 22 0 19 Sep 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 74 45 0 16 Sep 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang-Cuong Pham 46 1 0 15 Sep 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 41 22 0 14 Sep 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 19 3 0 07 Aug 2022
Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model Bruno Gašperov Z. Kostanjčar 24 11 0 20 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 43 13 0 11 Jul 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 36 3 0 05 Jul 2022
Safe Reinforcement Learning via Confidence-Based Filters Sebastian Curi Armin Lederer Sandra Hirche Andreas Krause OffRL 24 4 0 04 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 25 10 0 21 Jun 2022
Communication-Efficient Distributionally Robust Decentralized Learning Matteo Zecchin Marios Kountouris David Gesbert 22 9 0 31 May 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
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems Ho Long Fung Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 25 5 0 25 May 2022
Adversarial joint attacks on legged robots Takuto Otomo Hiroshi Kera K. Kawamoto AAML 21 1 0 20 May 2022
Attacking and Defending Deep Reinforcement Learning Policies Chao Wang AAML 28 2 0 16 May 2022
Morphological Wobbling Can Help Robots Learn Fabien C. Y. Benureau Jun Tani 15 2 0 05 May 2022
Deep-Attack over the Deep Reinforcement Learning Yang Li Quanbiao Pan Erik Cambria AAML 13 13 0 02 May 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep P. Chinchali AAML 34 4 0 13 Apr 2022
Configuration Path Control S. Pankov 19 1 0 05 Apr 2022
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning Tianhao Wu Fangwei Zhong Yiran Geng Hongchen Wang Yongjian Zhu Yizhou Wang Hao Dong 24 8 0 04 Mar 2022
Sound Adversarial Audio-Visual Navigation Yinfeng Yu Wenbing Huang Gang Hua Changan Chen Yikai Wang Xiaohong Liu AAML 21 29 0 22 Feb 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 82 37 0 19 Feb 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 32 0 0 15 Feb 2022
A General, Evolution-Inspired Reward Function for Social Robotics Thomas Kingsford 16 0 0 01 Feb 2022
Combining Learning-based Locomotion Policy with Model-based Manipulation for Legged Mobile Manipulators Yuntao Ma Farbod Farshidian Takahiro Miki Joonho Lee Marco Hutter 28 68 0 11 Jan 2022
A Continuous-time Stochastic Gradient Descent Method for Continuous Data Kexin Jin J. Latz Chenguang Liu Carola-Bibiane Schönlieb 18 9 0 07 Dec 2021
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction Yulin Zhang William Macke Jiaxun Cui Daniel Urieli Peter Stone 11 8 0 03 Dec 2021
$Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control$ Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control Y. Cheng Penghui Zhao F. Wang D. Block N. Hovakimyan 44 8 0 03 Dec 2021
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 93 70 0 02 Dec 2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 19 4 0 02 Dec 2021
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh J. Mullins AAML 20 3 0 08 Nov 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 19 2 0 26 Oct 2021
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes Sihan Zeng Thinh T. Doan J. Romberg 97 17 0 21 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 32 34 0 09 Oct 2021