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Data Efficient Reinforcement Learning for Integrated Lateral Planning and Control in Automated Parking System
Reinforcement learning (RL) is a promising direction in automated parking systems (APSs), as integrating planning and tracking control using RL can potentially maximize the overall performance. However, commonly used model-free RL requires many interactions to achieve acceptable performance, and mod...
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| Udgivet i: | Sensors (Basel) |
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| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7766926/ https://ncbi.nlm.nih.gov/pubmed/33353153 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20247297 |
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