Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

登录免费注册

资源分类

论文
算法
数据集
经验分享
技术动态
行业动态

论文
学习
研究领域

算法
学习
研究领域

数据集
自动驾驶
图片

经验分享
学习
研究领域

技术动态
计算机视觉
自然语言处理

行业动态
教育
语音识别

》资源》论文》Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

2019-10-10 |

91 |

56 |

Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning
论文

Abstract In this demo, we will present a simulation-based human-computer interaction of deep reinforcement learning in action on order dispatching and driver repositioning for ride-sharing. Specifically, we will demonstrate through several specially designed domains how we use deep reinforcement learning to train agents (drivers) to have longer optimization horizon and to cooperate to achieve higher objective values collectively

上一篇：CRSRL: Customer Routing System Using Reinforcement Learning

下一篇：Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks

用户评价