v1v2 (latest)

RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states

15 May 2022

Papers citing "RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states"

29 / 29 papers shown

Title
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 104 15 0 17 May 2023
Sparse Adversarial Attack in Multi-agent Reinforcement Learning Yi Hu Zhihua Zhang AAML 93 11 0 19 May 2022
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real Eduardo Candela L. Parada Luís Marques Tiberiu-Andrei Georgescu Y. Demiris Panagiotis Angeloudis 63 32 0 22 Mar 2022
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 90 19 0 14 Sep 2021
A Comprehensive Survey of Scene Graphs: Generation and Application Xiaojun Chang Pengzhen Ren Pengfei Xu Zhihui Li Xiaojiang Chen Alexander G. Hauptmann 3DV 98 235 0 17 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 158 1,272 0 02 Mar 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 104 168 0 21 Jan 2021
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 201 742 0 24 Sep 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 77 96 0 05 Aug 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 110 457 0 03 Aug 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu AAML 48 117 0 14 May 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 163 274 0 19 Mar 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 122 817 0 19 Mar 2020
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems Yue Wang Esha Sarkar Wenqing Li Michail Maniatakos Saif Eddin Jabari AAML 143 64 0 17 Mar 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska Shanghang Zhang A. Leon-Garcia Nicolas Papernot AAML 119 69 0 08 Mar 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei 65 52 0 10 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 138 135 0 27 Jan 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 58 242 0 25 Nov 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations Eric Wong Frank R. Schmidt J. Zico Kolter AAML 93 211 0 21 Feb 2019
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models Sven Gowal Krishnamurthy Dvijotham Robert Stanforth Rudy Bunel Chongli Qin J. Uesato Relja Arandjelović Timothy A. Mann Pushmeet Kohli AAML 98 559 0 30 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 72 755 0 05 Oct 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 166 1,676 0 30 Mar 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 69 575 0 15 Feb 2018
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control Mengyuan Yan I. Frosio Stephen Tyree Jan Kautz 76 39 0 08 Dec 2017
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence Lianmin Zheng Jiacheng Yang Han Cai Weinan Zhang Jun Wang Yong Yu 68 212 0 02 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,520 0 07 Jun 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 102 839 0 08 Feb 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014