A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles

Author:

Le Mero Luc1ORCID,Yi Dewei2ORCID,Dianati Mehrdad1ORCID,Mouzakitis Alexandros3

Affiliation:

1. Warwick Manufacturing Group, The University of Warwick, Coventry, U.K.

2. Department of Computing Science, University of Aberdeen, Aberdeen, U.K.

3. Jaguar Land Rover Ltd., Coventry, U.K.

Funder

Jaguar Land Rover

U.K. Engineering and Physical Sciences Research Council

jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference77 articles.

1. Benchmarking deep reinforcement learning for continuous control;duan;Proc Int Conf Mach Learn,2016

2. Generative adversarial imitation learning;ho;Proc Adv Neural Inf Process Syst,2016

3. Watch this: Scalable cost-function learning for path planning in urban environments

4. Maximum entropy deep inverse reinforcement learning;wulfmeier;arXiv 1507 04888,2016

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