27 citations · 46 across the 3 of their papers we have counts for
3 papers
cs.MA2021★ 7 cited
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning
Yi Hou, Peter Graf
Frequent lane changes during congestion at freeway bottlenecks such as merge and weaving areas further reduce roadway capacity. The emergence of deep reinforcement learning (RL) an…
eess.SY2021★ 12 cited
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem
Erotokritos Skordilis, Yi Hou, Charles Tripp +3
Mobility on demand (MoD) systems show great promise in realizing flexible and efficient urban transportation. However, significant technical challenges arise from operational decis…
cs.LG2019★ 27 cited
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
Chao Wang, Yi Hou, Matthew Barth
Ride-hailing services are growing rapidly and becoming one of the most disruptive technologies in the transportation realm. Accurate prediction of ride-hailing trip demand not only…