Shifting Deep Reinforcement Learning Algorithm Toward Training Directly in Transient Real-World Environment: A Case Study in Powertrain Control

Title
Shifting Deep Reinforcement Learning Algorithm Toward Training Directly in Transient Real-World Environment: A Case Study in Powertrain Control
Authors
Keywords
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Journal
IEEE Transactions on Industrial Informatics
Volume 17, Issue 12, Pages 8198-8206
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-03-04
DOI
10.1109/tii.2021.3063489

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