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Enhancing the Robustness of QMIX against State-adversarial Attacks

Enhancing the Robustness of QMIX against State-adversarial Attacks

3 July 2023
Weiran Guo
Guanjun Liu
Ziyuan Zhou
Ling Wang
Jiacun Wang
    AAML
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Papers citing "Enhancing the Robustness of QMIX against State-adversarial Attacks"

4 / 4 papers shown
Title
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Yi Hu
Zhihua Zhang
AAML
45
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
19
23
0
15 May 2022
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
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