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Robustness Testing for Multi-Agent Reinforcement Learning: State
  Perturbations on Critical Agents

Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents

9 June 2023
Ziyuan Zhou
Guanjun Liu
    AAML
ArXivPDFHTML

Papers citing "Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents"

5 / 5 papers shown
Title
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
OOD
OffRL
36
1
0
27 Feb 2025
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
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
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