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Robust Stochastic Bandit Algorithms under Probabilistic Unbounded
  Adversarial Attack

Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack

17 February 2020
Ziwei Guan
Kaiyi Ji
Donald J. Bucci
Timothy Y. Hu
J. Palombo
Michael J. Liston
Yingbin Liang
    AAML
ArXivPDFHTML

Papers citing "Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack"

5 / 5 papers shown
Title
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Zhiwei Wang
Huazheng Wang
Hongning Wang
AAML
41
0
0
21 Feb 2024
Efficient Action Poisoning Attacks on Linear Contextual Bandits
Efficient Action Poisoning Attacks on Linear Contextual Bandits
Guanlin Liu
Lifeng Lai
AAML
33
4
0
10 Dec 2021
When Are Linear Stochastic Bandits Attackable?
When Are Linear Stochastic Bandits Attackable?
Huazheng Wang
Haifeng Xu
Hongning Wang
AAML
29
10
0
18 Oct 2021
Game Redesign in No-regret Game Playing
Game Redesign in No-regret Game Playing
Yuzhe Ma
Young Wu
Xiaojin Zhu
19
10
0
18 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against
  Reinforcement Learning
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
Guanlin Liu
Lifeng Lai
AAML
32
34
0
09 Oct 2021
1