Deep reinforcement learning Lane-Change Decision-Making for autonomous vehicles based on motion primitives library in hierarchical action space
Deep Reinforcement Learning (DRL) is capable of learning a policy with great scene adaptation ability through interactions with the environment, and has application potential in the field of autonomous driving. However, using DRL to directly control the vehicle motion command is easy to lead to fluc...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ELS Publishing (ELSP)
2024-12-01
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| Series: | Artificial Intelligence and Autonomous Systems |
| Subjects: | |
| Online Access: | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/AIAS/2024/aias20240009.pdf |
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