Contextual Bandits with Large Action Spaces: Made Practical

12 July 2022

Papers citing "Contextual Bandits with Large Action Spaces: Made Practical"

7 / 7 papers shown

Title
Contextual Bandits for Unbounded Context Distributions Puning Zhao Xiaogang Xu Zhe Liu Huiwen Wu Q. Zhang Zong Ke Tianhang Zheng 71 3 0 19 Aug 2024
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 36 5 0 22 Feb 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 21 0 0 26 Dec 2023
Infinite Action Contextual Bandits with Reusable Data Exhaust Mark Rucker Yinglun Zhu Paul Mineiro OffRL 21 1 0 16 Feb 2023
Learning to Generate All Feasible Actions Mirco Theile Daniele Bernardini Raphael Trumpp C. Piazza Marco Caccamo Alberto L. Sangiovanni-Vincentelli 29 2 0 26 Jan 2023
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms Osama A. Hanna Lin F. Yang Christina Fragouli 27 11 0 08 Nov 2022
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles Yuxuan Han Jialin Zeng Yang Wang Yangzhen Xiang Jiheng Zhang 56 9 0 21 Oct 2022