2019 IJCAI IJCAI 2019

Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

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.

🧭 Keyword Pioneer — multi-agent cooperation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics
🌉 Interdisciplinary Bridge — Machine Learning and Reinforcement Learning