Online Learning of Network Bottlenecks via Minimax Paths

17 September 2021

Papers citing "Online Learning of Network Bottlenecks via Minimax Paths"

9 / 9 papers shown

Title
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach Arman Rahbar Niklas Åkerblom M. Chehreghani 28 0 0 21 Aug 2023
Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs Ebrahim Balouji J. Sjöblom Nikolce Murgovski M. Chehreghani AI4TS 21 1 0 27 Mar 2023
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles Niklas Åkerblom M. Chehreghani 23 0 0 17 Jan 2023
Autonomous Drug Design with Multi-Armed Bandits Hampus Gummesson Svensson E. Bjerrum C. Tyrchan O. Engkvist M. Chehreghani 29 5 0 04 Jul 2022
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification F. Hoseini Niklas Åkerblom M. Chehreghani 30 3 0 16 Jun 2022
Online Learning of Energy Consumption for Navigation of Electric Vehicles Niklas Åkerblom Yuxin Chen M. Chehreghani 28 12 0 03 Nov 2021
A Unified Framework for Online Trip Destination Prediction Victor Eberstein J. Sjöblom Nikolce Murgovski M. Chehreghani 18 1 0 12 Jan 2021
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles Niklas Åkerblom Yuxin Chen M. Chehreghani 21 15 0 03 Mar 2020
Trip Prediction by Leveraging Trip Histories from Neighboring Users Yuxin Chen M. Chehreghani AI4TS 22 2 0 25 Dec 2018