Path Following with Supervised Deep Reinforcement Learning

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7
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2017
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  • DOI 10.1109/acpr.2017.30
  • OpenAlex ID W2904518758
  • Type Conference-paper
  • Language EN
  • Published 01 Nov 2017
  • Volume 2017
  • Pages 448–452
  • Source IAPR Asian Conference on Pattern Recogni…
  • FWCI 0.50
  • Countries 1
  • Institutions 2
  • Added 10 Oct 2025
  • Updated 16 Oct 2026
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Path Following with Supervised Deep Reinforcement Learning

Conference-paper 2017 EN

In this paper, we propose a fast adaptive learning method called supervised deep reinforcement learning to realize path following with high-dimensional input for autonomous driving task. We combine traditional feedback control method with deep reinforcement learning, the former providing a basic steering manipulation technique and the latter further improving the performance, which is similar with…

7

Citations

16

References

3

Authors

0.50

FWCI

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3 authors
#AuthorInstitutionsORCID
1 Wen-Yi Gu Nanjing University of Science … (CN) —
2 Xin Xu National University of Defense… (CN)
3 Jian Yang Nanjing University of Science … (CN)

Data: OpenAlex