Deep reinforcement learning for gearshift controllers in automatic transmissions

Deep reinforcement learning for gearshift controllers in automatic transmissions

Control design for gearshifts in modern automotive automatic transmissions constitutes a challenging, time consuming task performed by highly trained experts. This is due to the fact that a variety of non-linear and partially observable systems need to be actuated, such that a comfortable shifting b...

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Bibliographic Details
Main Authors: Gerd Gaiselmann, Stefan Altenburg, Stefan Studer, Steven Peters
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Array
Subjects:
Deep reinforcement learning
Sim-to-real transfer
Domain adaption
Automotive
Automatic transmission
Gear shifting
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005622000728

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http://www.sciencedirect.com/science/article/pii/S2590005622000728

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