Feb 17, 2022 · Abstract:This work addresses the efficiency concern on inferring a nonlinear contextual bandit when the number of arms n is very large.
Feb 21, 2022 · Furthermore, we focus mainly on. Neural Bandit models. For nonlinear contextual bandits, neural networks are especially appealing for its rich ...
Feb 21, 2022 · Minimal Exploration in Structured Stochastic Bandits ... This paper introduces and addresses a wide class of stochastic bandit problems where the ...
This work addresses the efficiency concern on inferring a nonlinear contextual bandit when the number of arms n is very large. We propose a neural bandit ...
This work addresses the efficiency concern on inferring a nonlinear contextual bandit when the number of arms $n$ is very large. We propose a neural bandit ...
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network. Yun Da Tsai, Shou De Lin. Feb 17 2022. cs.LG. This work addresses ...
Neural Contextual Bandits with UCB-based Exploration ... Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network.
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YD Tsai, SD Lin:"Fast Online Inference for Nonlinear Contextual Bandit Based on Generative Adversarial Network".Available at SSRN 4616034.PDF. 2021. Chih-Te ...
This work addresses the efficiency concern on inferring a nonlinear contextual bandit when the number of arms $n$ is very large. We ...
This work addresses the efficiency concern on inferring a nonlinear contextual bandit when the number of arms $n$ is very large. We propose a neural bandit ...