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08/21/2023
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach
Online decision making plays a crucial role in numerous real-world appli...
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01/17/2023
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles
In this work, we address the problem of long-distance navigation for bat...
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10/28/2022
An Online Learning Approach for Vehicle Usage Prediction During COVID-19
Today, there is an ongoing transition to more sustainable transportation...
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06/16/2022
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification
Bottleneck identification is a challenging task in network analysis, esp...
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03/04/2022
Passive and Active Learning of Driver Behavior from Electric Vehicles
Modeling driver behavior provides several advantages in the automotive i...
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11/03/2021
Online Learning of Energy Consumption for Navigation of Electric Vehicles
Energy-efficient navigation constitutes an important challenge in electr...
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09/17/2021
Online Learning of Network Bottlenecks via Minimax Paths
In this paper, we study bottleneck identification in networks via extrac...
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03/03/2020