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07/20/2023
Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits
The drastic growth of electric vehicles and photovoltaics can introduce ...
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09/29/2021
Batched Bandits with Crowd Externalities
In Batched Multi-Armed Bandits (BMAB), the policy is not allowed to be u...
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10/15/2020
Double-Linear Thompson Sampling for Context-Attentive Bandits
In this paper, we analyze and extend an online learning framework known ...
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11/19/2018
Decentralized Exploration in Multi-Armed Bandits
We consider the decentralized exploration problem: a set of players coll...
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05/10/2017
Context Attentive Bandits: Contextual Bandit with Restricted Context
We consider a novel formulation of the multi-armed bandit model, which w...
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01/30/2017
Reinforcement Learning Algorithm Selection
This paper formalises the problem of online algorithm selection in the c...
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09/07/2016
Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem
We consider a non-stationary formulation of the stochastic multi-armed b...
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02/11/2016
