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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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Podrobná bibliografie
Vydáno v:Sensors (Basel)
Hlavní autoři: Song, Shaoyu, Chen, Hui, Sun, Hongwei, Liu, Meicen
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2020
Témata:
On-line přístup: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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