DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks-Reference-Cited by-同舟云学术

DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks

Author:

Doe Daniel Mawunyo¹^ORCID,Chen Dawei²^ORCID,Han Kyungtae²^ORCID,Wang Haoxin³^ORCID,Xie Jiang⁴^ORCID,Han Zhu¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA

2. InfoTech Laboratories, Toyota Motor North America Research and Development, Mountain View, CA, USA

3. Department of Computer Science, Georgia State University, Atlanta, GA, USA

4. Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA

Funder

Funds from Toyota Motor North America, Amazon

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference35 articles.

4. Continuous control with deep reinforcement learning;lillicrap;arXiv 1509 02971,2015

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