Vehicle optimal control method based on deep reinforcement learning

The invention discloses a vehicle optimal control method based on deep reinforcement learning. The method comprises the following steps: step 1, establishing a strategy network and a mutually independent value network; 2, the vehicle is controlled to run, and samples are collected; 3, inputting the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	HUANG XIWEN, HUANG XIANGDANG, FEI HANSHENG, YANG QIULING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES CONTROLLING COUNTING PERFORMING OPERATIONS PHYSICS REGULATING ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TRANSPORTING VEHICLES IN GENERAL
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