{"id":205,"date":"2023-07-14T11:37:22","date_gmt":"2023-07-14T11:37:22","guid":{"rendered":"https:\/\/34.239.202.173\/?p=205"},"modified":"2023-09-25T15:16:51","modified_gmt":"2023-09-25T15:16:51","slug":"ga-drl-is-managing-complex-vehicle-tasks-using-ai","status":"publish","type":"post","link":"https:\/\/mlnews.dev\/ga-drl-is-managing-complex-vehicle-tasks-using-ai\/","title":{"rendered":"Discover How GA-DRL Is Managing Complex Vehicle Tasks: Using AI In Dynamic Vehicular Clouds"},"content":{"rendered":"\n
Advanced research on GA-DRL, allows different vehicles to work together to complete difficult tasks. Vehicles complete complex tasks efficiently such as delivering packages, managing traffic issues and resolving routing problems. The main aim of this research is to enhance the capabilities of smart vehicles. This research was done by Zhang Liu<\/a>, Lianfen Huang<\/a>, Zhibin Gao<\/a>, Manman Luo<\/a>, Seyyedali Hosseinalipour<\/a>, and Huaiyu Dai<\/a> and published in the College of Information Engineering, Ningxia University one of the top Chinese Universities in Yinchuan, China.<\/p>\n\n\n