most citedOptimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 3 cited

Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network

Juhyeon Kim, Kihyun Kim

We propose a novel approach to optimize fleet management by combining multi-agent reinforcement learning with graph neural network. To provide ride-hailing service, one needs to op…