Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design-Reference-Cited by-同舟云学术

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Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
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Author:

Yun Won Joon¹,Kwak Yunseok¹,Kim Jae Pyoung¹,Cho Hyunhee²,Jung Soyi³,Park Jihong⁴,Kim Joongheon¹

Affiliation:

1. Korea University,School of Electrical Engineering,Seoul,Republic of Korea

2. Sungkyunkwan University,School of Electronic and Electrical Engineering,Suwon,Republic of Korea

3. Hallym University,School of Software,Chuncheon,Republic of Korea

4. Deakin University,School of Information Technology,Geelong,Victoria,Australia

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9912136/9912128/09912289.pdf?arnumber=9912289

Reference12 articles.

1. Quantum Convolutional Neural Network on Protein Distance Prediction

2. A Tutorial on Quantum Convolutional Neural Networks (QCNN)

3. Universal variational quantum computation

4. Variational Quantum Circuits for Deep Reinforcement Learning

5. Quantum deep learning;wiebe;CoRR,2014

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