Robust Adversarial Reinforcement Learning

8 March 2017

Papers citing "Robust Adversarial Reinforcement Learning"

50 / 142 papers shown

Title
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
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 14 3 0 24 Sep 2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network Sourav Sanyal Kaushik Roy PINN 25 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 66 45 0 16 Sep 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang-Cuong Pham 34 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 28 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 11 11 0 20 Jul 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 29 3 0 05 Jul 2022
Safe Reinforcement Learning via Confidence-Based Filters Sebastian Curi Armin Lederer Sandra Hirche Andreas Krause OffRL 19 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 23 10 0 21 Jun 2022
Communication-Efficient Distributionally Robust Decentralized Learning Matteo Zecchin Marios Kountouris David Gesbert 18 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 37 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
Attacking and Defending Deep Reinforcement Learning Policies Chao Wang AAML 20 2 0 16 May 2022
Morphological Wobbling Can Help Robots Learn Fabien C. Y. Benureau Jun Tani 8 2 0 05 May 2022
Deep-Attack over the Deep Reinforcement Learning Yang Li Quanbiao Pan Erik Cambria AAML 11 13 0 02 May 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep P. Chinchali AAML 27 4 0 13 Apr 2022
Configuration Path Control S. Pankov 11 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 19 8 0 04 Mar 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 77 37 0 19 Feb 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 24 0 0 15 Feb 2022
A General, Evolution-Inspired Reward Function for Social Robotics Thomas Kingsford 13 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 21 68 0 11 Jan 2022
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 42 8 0 03 Dec 2021
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 93 69 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 16 4 0 02 Dec 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 11 2 0 26 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 30 34 0 09 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Neural Network Verification in Control M. Everett AAML 32 16 0 30 Sep 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 68 96 0 29 Sep 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutière AAML 25 6 0 15 Sep 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control Wanpeng Zhang Xiaoyan Cao Yaowen Yao Zhicheng An Xi Xiao Dijun Luo OffRL 25 18 0 26 Aug 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 31 16 0 23 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 19 5 0 09 Jul 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning Sebastian Curi Ilija Bogunovic Andreas Krause 24 17 0 18 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 8 174 0 10 Mar 2021
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning Masao Shinzaki Yusuke Koda Koji Yamamoto Takayuki Nishio M. Morikura Y. Shirato D. Uchida N. Kita 18 6 0 16 Feb 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards Rubén Majadas Javier A. García Fernando Fernández AAML 6 6 0 12 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 59 162 0 21 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 17 35 0 02 Jan 2021
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 22 5 0 27 Nov 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 12 29 0 21 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 8 12 0 20 Nov 2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning Fan Yang Chao Yang Di Guo Huaping Liu F. Sun 29 4 0 17 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency Junwei Zhang Zhenghao Zhang Shuai Han Shuai Lu 11 40 0 11 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 16 236 0 06 Nov 2020