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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

15 May 2022
Ziyuan Zhou
Guanjun Liu
    AAML
ArXivPDFHTML

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

4 / 4 papers shown
Title
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
16
7
0
03 Jul 2023
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
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
1