ResearchTrend.AI
Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks

Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks

Yinglun Xu
Zhiwei Wang
Gagandeep Singh
    AAML
ArXiv (abs)PDFHTML

Papers citing "Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks"

12 / 12 papers shown
Title
A Model Selection Approach for Corruption Robust Reinforcement Learning
A Model Selection Approach for Corruption Robust Reinforcement Learning
Chen-Yu Wei
Christoph Dann
Julian Zimmert
156
45
0
31 Dec 2024
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Jiafan He
Heyang Zhao
Dongruo Zhou
Quanquan Gu
OffRL
116
55
0
12 Dec 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He
Dongruo Zhou
Tong Zhang
Quanquan Gu
100
48
0
13 May 2022
Linear Contextual Bandits with Adversarial Corruptions
Linear Contextual Bandits with Adversarial Corruptions
Heyang Zhao
Dongruo Zhou
Quanquan Gu
AAML
88
24
0
25 Oct 2021
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Qin Ding
Cho-Jui Hsieh
James Sharpnack
AAML
66
33
0
05 Jun 2021
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
Tal Lancewicki
Shahar Segal
Tomer Koren
Yishay Mansour
55
41
0
04 Jun 2021
Robust Policy Gradient against Strong Data Corruption
Robust Policy Gradient against Strong Data Corruption
Xuezhou Zhang
Yiding Chen
Xiaojin Zhu
Wen Sun
AAML
90
39
0
11 Feb 2021
Adversarial Attacks on Linear Contextual Bandits
Adversarial Attacks on Linear Contextual Bandits
Evrard Garcelon
Baptiste Roziere
Laurent Meunier
Jean Tarbouriech
O. Teytaud
A. Lazaric
Matteo Pirotta
AAML
34
50
0
10 Feb 2020
Data Poisoning Attacks on Stochastic Bandits
Data Poisoning Attacks on Stochastic Bandits
Fang Liu
Ness B. Shroff
AAML
70
101
0
16 May 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Anupam Gupta
Tomer Koren
Kunal Talwar
AAML
120
152
0
22 Feb 2019
Adversarial Attacks on Stochastic Bandits
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun
Lihong Li
Yuzhe Ma
Xiaojin Zhu
AAML
366
124
0
29 Oct 2018
Thompson Sampling for Contextual Bandits with Linear Payoffs
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal
Navin Goyal
204
1,006
0
15 Sep 2012

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.