Comparing deep reinforcement learning architectures for autonomous racing
In classical autonomous racing, a perception, planning, and control pipeline is employed to navigate vehicles around a track as quickly as possible. In contrast, neural network controllers have been used to replace either part of or the entire pipeline. This paper compares three deep learning archit...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266682702300049X |