Gaussian Imagination in Bandit Learning

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Gaussian Imagination in Bandit Learning

6 January 2022

Adithya M. Devraj

Benjamin Van Roy

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Papers citing "Gaussian Imagination in Bandit Learning"

11 / 11 papers shown

Title
The Fragility of Optimized Bandit Algorithms Lin Fan Peter Glynn 60 13 0 28 Sep 2021
Bayesian decision-making under misspecified priors with applications to meta-learning Max Simchowitz Christopher Tosh A. Krishnamurthy Daniel J. Hsu Thodoris Lykouris Miroslav Dudík Robert Schapire 89 50 0 03 Jul 2021
Bandit Phase Retrieval Tor Lattimore Botao Hao 52 13 0 03 Jun 2021
Reinforcement Learning, Bit by Bit Xiuyuan Lu Benjamin Van Roy Vikranth Dwaracherla M. Ibrahimi Ian Osband Zheng Wen 57 70 0 06 Mar 2021
A Bit Better? Quantifying Information for Bandit Learning Adithya M. Devraj Benjamin Van Roy Kuang Xu 36 5 0 18 Feb 2021
Mirror Descent and the Information Ratio Tor Lattimore András Gyorgy 43 42 0 25 Sep 2020
Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner Tor Lattimore Andreas Krause 74 46 0 25 Feb 2020
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring Tor Lattimore Csaba Szepesvári 35 70 0 01 Feb 2019
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 61 72 0 18 Dec 2018
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 89 307 0 22 Mar 2017
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors Junya Honda Akimichi Takemura 65 63 0 08 Nov 2013

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