research
∙
05/16/2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Optimization problems over dynamic networks have been extensively studie...
share
research
∙
02/28/2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
Autonomous Mobility-on-Demand (AMoD) systems are a rapidly evolving mode...
research
∙
07/28/2021
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management
Bike-sharing systems are a rapidly developing mode of transportation and...
research
∙
04/23/2021
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
Autonomous mobility-on-demand (AMoD) systems represent a rapidly develop...
research
∙
09/10/2020
Generalized Multi-Output Gaussian Process Censored Regression
When modelling censored observations, a typical approach in current regr...
research
∙
06/09/2020
Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling
When modelling real-valued sequences, a typical approach in current RNN ...
research
∙
01/21/2020