Reinforcement Learning based Optimization of Bayesian Networks for Generating Feasible Vehicle Configuration Suggestions-Reference-Cited by-同舟云学术

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Reinforcement Learning based Optimization of Bayesian Networks for Generating Feasible Vehicle Configuration Suggestions

Published:2021-08-23 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)
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Author:

Durr Simon¹,Lamprecht Raphael²,Kauffmann Matthias¹,Huber Marco F.³

Affiliation:

1. Dr. Ing. h.c. F. Porsche AG,Stuttgart,D-70435

2. Center for Cyber Cognitive Intelligence (CCI), Fraunhofer Institute for Manufacturing Engineering and Automation IPA,Stuttgart,D-70569

3. Institute of Industrial Manufacturing and Management IFF,Stuttgart,D-70569

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9551387/9551265/09551428.pdf?arnumber=9551428

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Importance of Kinematic Configurations for Motion Control of Driving Simulators;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

2. A Data-Driven Approach to Generate Planned Order Book Scenarios in Multi-Variant Production;Procedia CIRP;2022

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