Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking
Author:
Affiliation:
1. Fraunhofer Center for Machine Learning and Fraunhofer IOSB-INA,Lemgo,Germany,32657
2. University of Groningen,Department of Artificial Intelligence and Cognitive Engineering,Groningen,The Netherlands,9712CP
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922306.pdf?arnumber=9922306
Reference23 articles.
1. Safe Reinforcement Learning for Autonomous Lane Changing Using Set-Based Prediction
2. Asynchronous Methods for Deep Reinforcement Learning;mnih;International Conference on Machine Learning,0
3. The Human Factor in Road Traffic City;prasolenko;International Journal of Intelligent Control and Automation,2015
4. Traffic signal networks simulator using emotional algorithm with individuality
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