Optimizing trajectories for highway driving with offline reinforcement learning
Achieving feasible, smooth and efficient trajectories for autonomous vehicles which appropriately take into account the long-term future while planning, has been a long-standing challenge. Several approaches have been considered, roughly falling under two categories: rule-based and learning-based ap...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Future Transportation |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/ffutr.2023.1076439/full |