Formula-E race strategy development using artificial neural networks and Monte Carlo tree search
Crossref DOI link: https://doi.org/10.1007/s00521-020-04871-1
Published Online: 2020-03-30
Published Print: 2020-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Liu, Xuze
Fotouhi, Abbas
Text and Data Mining valid from 2020-03-30
Version of Record valid from 2020-03-30
Article History
Received: 13 March 2019
Accepted: 19 March 2020
First Online: 30 March 2020
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.