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03/31/2023
Learning Optimal Bidding Strategy: Case Study in E-Commerce Advertising
Although the bandits framework is a classical and well-suited approach f...
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09/08/2022
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
We study a posterior sampling approach to efficient exploration in const...
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02/14/2022
The Impact of Batch Learning in Stochastic Linear Bandits
We consider a special case of bandit problems, named batched bandits, in...
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11/03/2021