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Robust Stochastic Bandit Algorithms under Probabilistic Unbounded
  Adversarial Attack

Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack

AAAI Conference on Artificial Intelligence (AAAI), 2020
17 February 2020
Ziwei Guan
Kaiyi Ji
Donald J. Bucci
Timothy Y. Hu
J. Palombo
Michael J. Liston
Yingbin Liang
    AAML
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Zhiwei Wang
Huazheng Wang
Hongning Wang
AAML
328
1
0
21 Feb 2024
Byzantine-Resilient Decentralized Multi-Armed Bandits
Byzantine-Resilient Decentralized Multi-Armed Bandits
Jingxuan Zhu
Alec Koppel
Alvaro Velasquez
Ji Liu
453
8
0
11 Oct 2023
Reward Teaching for Federated Multi-armed Bandits
Reward Teaching for Federated Multi-armed BanditsInternational Symposium on Information Theory (ISIT), 2023
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
FedML
324
1
0
03 May 2023
Adversarial Attacks on Adversarial Bandits
Adversarial Attacks on Adversarial BanditsInternational Conference on Learning Representations (ICLR), 2023
Yuzhe Ma
Zhijin Zhou
AAML
212
10
0
30 Jan 2023
Robust Pareto Set Identification with Contaminated Bandit Feedback
Robust Pareto Set Identification with Contaminated Bandit Feedback
Sepehr Elahi
Cem Tekin
155
0
0
06 Jun 2022
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Young Wu
Jermey McMahan
Xiaojin Zhu
Qiaomin Xie
AAMLOffRL
529
24
0
04 Jun 2022
Efficient Action Poisoning Attacks on Linear Contextual Bandits
Efficient Action Poisoning Attacks on Linear Contextual Bandits
Guanlin Liu
Lifeng Lai
AAML
242
5
0
10 Dec 2021
When Are Linear Stochastic Bandits Attackable?
When Are Linear Stochastic Bandits Attackable?
Huazheng Wang
Haifeng Xu
Hongning Wang
AAML
245
11
0
18 Oct 2021
Game Redesign in No-regret Game Playing
Game Redesign in No-regret Game Playing
Yuzhe Ma
Young Wu
Xiaojin Zhu
221
11
0
18 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against
  Reinforcement Learning
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Guanlin Liu
Lifeng Lai
AAML
227
50
0
09 Oct 2021
Exploring the Training Robustness of Distributional Reinforcement
  Learning against Noisy State Observations
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
Ke Sun
Yingnan Zhao
Shangling Jui
Linglong Kong
OOD
408
21
0
17 Sep 2021
Robust Bandit Learning with Imperfect Context
Robust Bandit Learning with Imperfect ContextAAAI Conference on Artificial Intelligence (AAAI), 2021
Jianyi Yang
Shaolei Ren
234
8
0
09 Feb 2021
Adversarial Attacks on Linear Contextual Bandits
Adversarial Attacks on Linear Contextual BanditsNeural Information Processing Systems (NeurIPS), 2020
Evrard Garcelon
Baptiste Roziere
Laurent Meunier
Jean Tarbouriech
O. Teytaud
A. Lazaric
Matteo Pirotta
AAML
269
56
0
10 Feb 2020
1
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