A Better Match for Drivers and Riders: Reinforcement Learning at Lyft

no code implementations • 20 Oct 2023 • Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sebastien Martin, Vijay Narasiman, Zhiwei, Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett van Ryzin, Di wu, Fei Yu, Alex Zamoshchin

This change was the first documented implementation of a ridesharing matching algorithm that can learn and improve in real time.

reinforcement-learning

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip

no code implementations • 12 Oct 2017 • Ishan Jindal, Tony, Qin, Xue-wen Chen, Matthew Nokleby, Jieping Ye

In building intelligent transportation systems such as taxi or rideshare services, accurate prediction of travel time and distance is crucial for customer experience and resource management.

Feature Engineering Management +1