Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning-Reference-Cited by-同舟云学术

Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Trauth Rainer¹,Kaufeld Marc²,Geisslinger Maximilian¹,Betz Johannes³

Affiliation:

1. Technical University of Munich,Institute of Automotive Technology,Garching,Germany,85748

2. Technical University of Munich,School of Engineering and Design,Garching,Germany,85748

3. Technical University of Munich,Professorship of Autonomous Vehicle Systems,Garching,Germany,85748

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186668.pdf?arnumber=10186668

Reference33 articles.

1. An enhanced driver’s risk perception modeling based on gate recurrent unit network

2. Investigating the Effect of Social and Cultural Factors on Drivers in Malaysia: A Naturalistic Driving Study

3. Profiling drivers to assess safe and eco-driving behavior – a systematic review of naturalistic driving studies;singh;Accident Analysis and Prevention,2021

4. A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms

5. Some methods for classification and analysis of multivariate observations;macqueen;Proc of the Fifth Berkeley Symposium on Mathematical Statistics and Probability,1967

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