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A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification


Jun 16, 2022
Fazeleh Hoseini, Niklas Ă…kerblom, Morteza Haghir Chehreghani

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Passive and Active Learning of Driver Behavior from Electric Vehicles


Mar 04, 2022
Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani

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Deep Q-learning: a robust control approach


Jan 21, 2022
Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani

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Online Learning of Energy Consumption for Navigation of Electric Vehicles


Nov 03, 2021
Niklas Ă…kerblom, Yuxin Chen, Morteza Haghir Chehreghani

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* Extension of IJCAI 2020 Main Track conference paper, sole copyright holder IJCAI (International Joint Conferences on Artificial Intelligence), all rights reserved. Original conference paper available at https://www.ijcai.org/Proceedings/2020/284 and arXiv:2003.01416 

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Shift of Pairwise Similarities for Data Clustering


Oct 25, 2021
Morteza Haghir Chehreghani

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Online Learning of Network Bottlenecks via Minimax Paths


Sep 17, 2021
Niklas Ă…kerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani

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Analysis of Driving Scenario Trajectories with Active Learning


Aug 06, 2021
Sanna Jarl, Sadegh Rahrovani, Morteza Haghir Chehreghani

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Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach


Jul 19, 2021
Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani

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A Unified Framework for Online Trip Destination Prediction


Jan 12, 2021
Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani

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* 18 pages, 12 figures 

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Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models


Oct 08, 2020
John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani

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