Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings-Reference-Cited by-同舟云学术

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Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings

Published:2023 Issue: Volume: Page:1-8
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Roy Arghyadip¹^ORCID,Shakkottai Sanjay²^ORCID,Srikant R.³^ORCID

Affiliation:

1. Mehta Family School of Data Science & Artificial Intelligence, Indian Institute of Technology Guwahati, India

2. Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA

3. Department of Electrical and Computer Engineering, and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Champaign, IL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/4601496/10328789.pdf?arnumber=10328789

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