Sortation Control Using Multi-Agent Deep Reinforcement Learning in N-Grid Sortation System.Intralogistics is a technology that optimizes, integrates, automates, and manages the logistics flow of goods within a logistics transportation and sortation center. 
Sortation Control Using Multi-Agent Deep Reinforcement Learning in N-Grid Sortation System
Sortation Control Using Multi-Agent Deep Reinforcement Learning in N-Grid Sortation System.Intralogistics is a technology that optimizes, integrates, automates, and manages the logistics flow of goods within a logistics transportation and sortation center. 
Multi-Agent Deep Reinforcement Learning
We present two types of RL agents, emission agents and routing agents, and they are trained to achieve the given sortation goals together.  For the verification of the proposed system and algorithm, we implement them in a full-fledged cyber-physical system simulator and describe the RL agents' learning performance.  From the learning results, we present that the well-trained collaborative RL agents can optimize their performance effectively. 
RL agents