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Understanding Adversarial Attacks on Observations in Deep Reinforcement
  Learning

Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning

30 June 2021
You Qiaoben
Chengyang Ying
Xinning Zhou
Hang Su
Jun Zhu
Bo Zhang
    AAML
ArXivPDFHTML

Papers citing "Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning"

3 / 3 papers shown
Title
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
18
5
0
11 Jan 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
1