Cooperative Multi-Agent Reinforcement Learning-Based Behavior Control of Grid Sortation Systems in Smart Factory


KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 8, pp. 171-180, Aug. 2020
https://doi.org/10.3745/KTCCS.2020.9.8.171,   PDF Download:
Keywords: Deep Learning, Reinforcement Learning, Sortation System, Cooperative Multi-Agent
Abstract

Smart Factory consists of digital automation solutions throughout the production process, including design, development, manufacturing and distribution, and it is an intelligent factory that installs IoT in its internal facilities and machines to collect process data in real time and analyze them so that it can control itself. The smart factory's equipment works in a physical combination of numerous hardware, rather than a virtual character being driven by a single object, such as a game. In other words, for a specific common goal, multiple devices must perform individual actions simultaneously. By taking advantage of the smart factory, which can collect process data in real time, if reinforcement learning is used instead of general machine learning, behavior control can be performed without the required training data. However, in the real world, it is impossible to learn more than tens of millions of iterations due to physical wear and time. Thus, this paper uses simulators to develop grid sortation systems focusing on transport facilities, one of the complex environments in smart factory field, and design cooperative multi-agent-based reinforcement learning to demonstrate efficient behavior control.


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Cite this article
[IEEE Style]
H. Choi, J. Kim, G. Hwang, K. Kim, Y. Hong, Y. Han, "Cooperative Multi-Agent Reinforcement Learning-Based Behavior Control of Grid Sortation Systems in Smart Factory," KIPS Transactions on Computer and Communication Systems, vol. 9, no. 8, pp. 171-180, 2020. DOI: https://doi.org/10.3745/KTCCS.2020.9.8.171.

[ACM Style]
HoBin Choi, JuBong Kim, GyuYoung Hwang, KwiHoon Kim, YongGeun Hong, and YounHee Han. 2020. Cooperative Multi-Agent Reinforcement Learning-Based Behavior Control of Grid Sortation Systems in Smart Factory. KIPS Transactions on Computer and Communication Systems, 9, 8, (2020), 171-180. DOI: https://doi.org/10.3745/KTCCS.2020.9.8.171.