Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions

8 June 2021

Shuai Li

Papers citing "Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions"

24 / 24 papers shown

Title
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously Chung-Wei Lee Haipeng Luo Chen-Yu Wei Mengxiao Zhang Xiaojin Zhang 81 49 0 11 Feb 2021
Cooperative Multi-Agent Bandits with Heavy Tails Abhimanyu Dubey Alex Pentland 41 50 0 14 Aug 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 86 52 0 04 Mar 2020
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits Peter Landgren Vaibhav Srivastava Naomi Ehrich Leonard 132 68 0 03 Mar 2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information Chengshuai Shi Wei Xiong Cong Shen Jing Yang 68 36 0 29 Feb 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits Ilai Bistritz Tavor Z. Baharav Amir Leshem Nicholas Bambos FaML 63 37 0 23 Feb 2020
Social Learning in Multi Agent Multi Armed Bandits Abishek Sankararaman A. Ganesh Sanjay Shakkottai 73 86 0 04 Oct 2019
Stochastic Linear Optimization with Adversarial Corruption Yingkai Li Edmund Y. Lou Liren Shan AAML 52 42 0 04 Sep 2019
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits Yogev Bar-On Yishay Mansour 48 42 0 07 Jul 2019
Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits Chao Tao Qin Zhang Yuanshuo Zhou FedML 39 61 0 05 Apr 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions Anupam Gupta Tomer Koren Kunal Talwar AAML 117 152 0 22 Feb 2019
Multi-Player Bandits: The Adversarial Case Pragnya Alatur Kfir Y. Levy Andreas Krause AAML 51 37 0 21 Feb 2019
Cooperative Online Learning: Keeping your Neighbors Updated Nicolò Cesa-Bianchi Tommaso Cesari C. Monteleoni 42 35 0 23 Jan 2019
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits Julian Zimmert Yevgeny Seldin AAML 169 179 0 19 Jul 2018
Stochastic bandits robust to adversarial corruptions Thodoris Lykouris Vahab Mirrokni R. Leme AAML 149 204 0 25 Mar 2018
Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms Peter Landgren Vaibhav Srivastava Naomi Ehrich Leonard 52 111 0 02 Jun 2016
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits P. Auer Chao-Kai Chiang 72 111 0 27 May 2016
Delay and Cooperation in Nonstochastic Bandits Nicolò Cesa-Bianchi Claudio Gentile Yishay Mansour Alberto Minora 49 145 0 15 Feb 2016
On Distributed Cooperative Decision-Making in Multiarmed Bandits Peter Landgren Vaibhav Srivastava Naomi Ehrich Leonard 63 78 0 21 Dec 2015
Distributed Exploration in Multi-Armed Bandits Eshcar Hillel Zohar Karnin Tomer Koren R. Lempel O. Somekh 151 107 0 04 Nov 2013
Distributed Non-Stochastic Experts Varun Kanade Zhenming Liu B. Radunovic OffRL 69 23 0 14 Nov 2012
Multiple Identifications in Multi-Armed Bandits Sébastien Bubeck Tengyao Wang N. Viswanathan 114 174 0 14 May 2012
Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics Haoyang Liu Keqin Liu Qing Zhao 120 159 0 22 Nov 2010
Contextual Bandit Algorithms with Supervised Learning Guarantees A. Beygelzimer John Langford Lihong Li L. Reyzin Robert Schapire OffRL 199 325 0 22 Feb 2010