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03/14/2023
Fast Rates for Maximum Entropy Exploration
We consider the reinforcement learning (RL) setting, in which the agent ...
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02/22/2023
When Combinatorial Thompson Sampling meets Approximation Regret
We study the Combinatorial Thompson Sampling policy (CTS) for combinator...
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01/05/2021
On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions
We demonstrate that from an algorithm guaranteeing an approximation fact...
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06/11/2020
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits
We investigate stochastic combinatorial multi-armed bandit with semi-ban...
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06/20/2019
Active Linear Regression
We consider the problem of active linear regression where a decision mak...
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02/11/2019
Exploiting Structure of Uncertainty for Efficient Combinatorial Semi-Bandits
We improve the efficiency of algorithms for stochastic combinatorial sem...
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06/06/2018
