aim4sim-shout-ahead
PublicA combination of reinforcement and evolutionary learning are used in an attempt to allow autonomous vehicles to learn behaviors necessary for the navigation of an intersection in a simple 2D traffic simulator. The open source AIM4 simulator developed by the Learning Agents Research Group at The University of Texas was extended to implement a special agent architecture and hybrid learning method in this multi-agent system approach to machine learning.
aimartificial-intelligenceautonomous-carautonomous-vehiclescollaborationcommunicationevolutionary-algorithmevolutionary-algorithmsjavamachine-learning
Creat：2017-05-10T05:12:03
Update：2021-09-27T11:55:25
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