Autonomous Vehicle Decision and Control through Reinforcement Learning with Traffic Flow Randomization
Most of the current studies on autonomous vehicle decision-making and control based on reinforcement learning are conducted in simulated environments. The training and testing of these studies are carried out under the condition of rule-based microscopic traffic flow, with little consideration regar...
| Published in: | Machines |
|---|---|
| Main Authors: | Yuan Lin, Antai Xie, Xiao Liu |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-04-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/12/4/264 |
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