Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Hou, Jing; Chen, Guang; Li, Zhijun; He, Wei; Gu, Shangding; Knoll, Alois; Jiang, Changjun
Titel:: Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots
Zeitschriftentitel:: IEEE Transactions on Cybernetics
Jahr:: 2023
Seitenangaben Beitrag:: 1-13
Volltext / DOI:: doi:10.1109/tcyb.2023.3312647
Verlag / Institution:: Institute of Electrical and Electronics Engineers (IEEE)
E-ISSN:: 2168-22672168-2275
Publikationsdatum:: 01.01.2023
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