HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning-Reference-Cited by-同舟云学术

HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning

Published:2022-11-16 Issue: Volume: Page:
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Trans Sys

Author:

Peng Yanfei¹,Tan Guozhen¹,Si Huaiwei¹

Affiliation:

1. School of Computer Science and TechnologyDalian University of Technology DalianChina

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12313

Reference34 articles.

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2. A sharing deep reinforcement learning method for efficient vehicle platooning control;Lu S.;IET Intel. Transport Syst.,2021

3. Bhattacharyya R.P. Phillips D.J. Wulfe B. et al.:Multi‐agent imitation learning for driving simulation. In:2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp.1534–1539.IEEE Piscataway NJ(2018)

4. SQIL: imitation learning via regularized behavioral cloning;Reddy A.D.D.;arXiv:1905.11108,2019

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