Niklas Åkerblom

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Online Learning

Energy Consumption

Intelligent Control

Gaussian Process

Top Venues

Publications

Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani
Tree Ensembles for Contextual Bandits. CoRR (2024)
Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani
Online Learning Models for Vehicle Usage Prediction During COVID-19. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Niklas Åkerblom, Morteza Haghir Chehreghani
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. CoRR (2023)
Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Online learning of network bottlenecks via minimax paths. Mach. Learn. 112 (1) (2023)
Niklas Åkerblom, Morteza Haghir Chehreghani
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles. Trans. Mach. Learn. Res. 2023 (2023)
Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach. CoRR (2023)
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation. CoRR (2023)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Online learning of energy consumption for navigation of electric vehicles. Artif. Intell. 317 (2023)
Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
Passive and Active Learning of Driver Behavior from Electric Vehicles. ITSC (2022)
Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification. CoRR (2022)
Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
Passive and Active Learning of Driver Behavior from Electric Vehicles. CoRR (2022)
Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani
An Online Learning Approach for Vehicle Usage Prediction During COVID-19. CoRR (2022)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Online Learning of Energy Consumption for Navigation of Electric Vehicles. CoRR (2021)
Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Online Learning of Network Bottlenecks via Minimax Paths. CoRR (2021)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. IJCAI (2020)
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. CoRR (2020)