Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility-Reference-Cited by-同舟云学术

Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility

Author:

Park Chanyoung¹^ORCID,Kim Gyu Seon¹^ORCID,Park Soohyun¹^ORCID,Jung Soyi²^ORCID,Kim Joongheon¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Korea University, Seoul, Republic of Korea

2. Department of Electrical and Computer Engineering, Ajou University, Suwon, Republic of Korea

Funder

National Research Foundation of Korea

Institute of Information and Communications Technology Planning and Evaluation

Korea Government

Ministry of Science and Information and Communications Technology

Intelligent 6G Wireless Access System

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference50 articles.

3. Learning multiagent communication with backpropagation;sukhbaatar;Proc Adv Neural Inf Process Syst,0

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