Deep Multi-Agent Reinforcement Learning using DNN-Weight Evolution to Optimize Supply Chain Performance

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]

Abstract

Abstract is missing.