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Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial
  Minority Influence

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

7 February 2023
Simin Li
Jun Guo
Jingqiao Xiu
Pu Feng
Xin Yu
Aishan Liu
Wenjun Wu
Xianglong Liu
    AAML
ArXivPDFHTML

Papers citing "Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence"

14 / 14 papers shown
Title
A Spatiotemporal Stealthy Backdoor Attack against Cooperative
  Multi-Agent Deep Reinforcement Learning
A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning
Yinbo Yu
Saihao Yan
Jiajia Liu
AAML
18
1
0
12 Sep 2024
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
11
1
0
01 Nov 2023
Robust Multi-Agent Reinforcement Learning by Mutual Information
  Regularization
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
Simin Li
Ruixiao Xu
Jingqiao Xiu
Yuwei Zheng
Pu Feng
Yaodong Yang
Xianglong Liu
10
3
0
15 Oct 2023
Isolation and Induction: Training Robust Deep Neural Networks against
  Model Stealing Attacks
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Jun Guo
Aishan Liu
Xingyu Zheng
Siyuan Liang
Yisong Xiao
Yichao Wu
Xianglong Liu
AAML
22
12
0
02 Aug 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State
  Perturbations on Critical Agents
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
Ziyuan Zhou
Guanjun Liu
AAML
10
7
0
09 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
25
14
0
17 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial
  Policy
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Jiawei Zhao
Xingjun Ma
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
11
1
0
04 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
200
2,232
0
22 Mar 2023
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative
  Reinforcement Learning
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Wanqi Xue
Wei Qiu
Bo An
Zinovi Rabinovich
S. Obraztsova
C. Yeo
AAML
39
33
0
09 Aug 2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang
Zaynah Javed
Xian Wu
Wenbo Guo
Xinyu Xing
D. Song
AAML
62
64
0
02 May 2021
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
52
161
0
21 Jan 2021
Adversarial Attacks On Multi-Agent Communication
Adversarial Attacks On Multi-Agent Communication
James Tu
Tsun-Hsuan Wang
Jingkang Wang
S. Manivasagam
Mengye Ren
R. Urtasun
AAML
65
46
0
17 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
125
192
0
19 Oct 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
Jieyu Lin
Kristina Dzeparoska
S. Zhang
A. Leon-Garcia
Nicolas Papernot
AAML
67
64
0
08 Mar 2020
1