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On the Robustness of Cooperative Multi-Agent Reinforcement Learning

On the Robustness of Cooperative Multi-Agent Reinforcement Learning

8 March 2020
Jieyu Lin
Kristina Dzeparoska
S. Zhang
A. Leon-Garcia
Nicolas Papernot
    AAML
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Papers citing "On the Robustness of Cooperative Multi-Agent Reinforcement Learning"

29 / 29 papers shown
Title
Robust Multi-Agent Reinforcement Learning via Adversarial
  Regularization: Theoretical Foundation and Stable Algorithms
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
Alexander Bukharin
Yan Li
Yue Yu
Qingru Zhang
Zhehui Chen
Simiao Zuo
Chao Zhang
Songan Zhang
Tuo Zhao
OOD
AAML
15
16
0
16 Oct 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He
Songyang Han
Sanbao Su
Shuo Han
Shaofeng Zou
Fei Miao
OOD
26
32
0
30 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo
Guanjun Liu
Ziyuan Zhou
Ling Wang
Jiacun Wang
AAML
11
7
0
03 Jul 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
8
7
0
09 Jun 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and
  Provable Defense in RL
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu
Souradip Chakraborty
Yanchao Sun
Furong Huang
AAML
12
4
0
27 May 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
Robust multi-agent coordination via evolutionary generation of auxiliary
  adversarial attackers
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
16
16
0
10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
34
8
0
09 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
15
2
0
07 May 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial
  Minority Influence
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
Simin Li
Jun Guo
Jingqiao Xiu
Pu Feng
Xin Yu
Aishan Liu
Wenjun Wu
Xianglong Liu
AAML
24
13
0
07 Feb 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
10
5
0
11 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and
  Privacy
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
20
18
0
31 Dec 2022
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement
  Learning
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Gaojie Jin
Q. Ni
22
5
0
22 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement
  Learning?
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
17
22
0
06 Dec 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in
  Two-player Competitive Games
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Viet The Bui
Tien Mai
T. Nguyen
AAML
19
4
0
30 Oct 2022
Ad Hoc Teamwork in the Presence of Adversaries
Ad Hoc Teamwork in the Presence of Adversaries
Ted Fujimoto
Samrat Chatterjee
A. Ganguly
17
2
0
09 Aug 2022
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Yi Hu
Zhihua Zhang
AAML
43
10
0
19 May 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against
  adversarial perturbations on states
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
Ziyuan Zhou
Guanjun Liu
AAML
17
23
0
15 May 2022
Towards Comprehensive Testing on the Robustness of Cooperative
  Multi-agent Reinforcement Learning
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
Jun Guo
Yonghong Chen
Yihang Hao
Zixin Yin
Yin Yu
Simin Li
AAML
19
32
0
17 Apr 2022
Robust Event-Driven Interactions in Cooperative Multi-Agent Learning
Robust Event-Driven Interactions in Cooperative Multi-Agent Learning
Daniel Jarne Ornia
M. Mazo
9
1
0
07 Apr 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
9
2
0
22 Mar 2022
Attacking c-MARL More Effectively: A Data Driven Approach
Attacking c-MARL More Effectively: A Data Driven Approach
Nhan H. Pham
Lam M. Nguyen
Jie Chen
Hoang Thanh Lam
Subhro Das
Tsui-Wei Weng
AAML
17
2
0
07 Feb 2022
Understanding Adversarial Attacks on Observations in Deep Reinforcement
  Learning
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
You Qiaoben
Chengyang Ying
Xinning Zhou
Hang Su
Jun Zhu
Bo Zhang
AAML
10
14
0
30 Jun 2021
Deception in Social Learning: A Multi-Agent Reinforcement Learning
  Perspective
Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective
P. Chelarescu
11
7
0
09 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
14
85
0
04 May 2021
Succinct and Robust Multi-Agent Communication With Temporal Message
  Control
Succinct and Robust Multi-Agent Communication With Temporal Message Control
S. Zhang
Jieyu Lin
Qi Zhang
11
42
0
27 Oct 2020
Probabilistic Jacobian-based Saliency Maps Attacks
Probabilistic Jacobian-based Saliency Maps Attacks
Théo Combey
António Loison
Maxime Faucher
H. Hajri
AAML
8
19
0
12 Jul 2020
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
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
48
105
0
27 Jan 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,813
0
08 Jul 2016
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