Deep Reinforcement Learning for Order Dispatching in Ridehailing
Organization
Bolt
Abstract
Finding the best driver for every order is one of the most crucial problems in ridehailing. However, real-life constraints make it almost impossible to solve this problem to optimality. One has to consider reliability and latency requirements as well as multiple business objectives when finding the optimal dispatching policy. In this project you will implement various deep learning architectures and evaluate their performance for multiobjective dispatching optimization task.
Graduation Theses defence year
2022-2023
Supervisor
Anatolii Prokhorchuk
Spoken language (s)
English
Requirements for candidates
Level
Masters
Keywords
Application of contact
Name
Anatolii Prokhorchuk
Phone
E-mail