Taiki Fuji, Kiyoto Ito, Kohsei Matsumoto, Kazuo Yano. Deep Multi-Agent Reinforcement Learning using DNN-Weight Evolution to Optimize Supply Chain Performance. In 51st Hawaii International Conference on System Sciences, HICSS 2018, Hilton Waikoloa Village, Hawaii, USA, January 3-6, 2018. pages 1-10, AIS Electronic Library (AISeL), 2018. [doi]
@inproceedings{FujiIMY18,
title = {Deep Multi-Agent Reinforcement Learning using DNN-Weight Evolution to Optimize Supply Chain Performance},
author = {Taiki Fuji and Kiyoto Ito and Kohsei Matsumoto and Kazuo Yano},
year = {2018},
url = {http://aisel.aisnet.org/hicss-51/da/decision_support_for_scm/5},
researchr = {https://researchr.org/publication/FujiIMY18},
cites = {0},
citedby = {0},
pages = {1-10},
booktitle = {51st Hawaii International Conference on System Sciences, HICSS 2018, Hilton Waikoloa Village, Hawaii, USA, January 3-6, 2018},
publisher = {AIS Electronic Library (AISeL)},
}