Daniele Gammelli

gnn-rl-for-amod. Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand

DeepKalmanFilter. Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction

variational-poisson-rnn. Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"

pyro-torch-normalizing-flows. Implementations of Normalizing Flows in Pytorch/Pyro

graph-meta-rl-for-amod. Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"

graph-rl-for-network-optimization. Python

recurrent-flow-nets. Jupyter Notebook

multi-output-gp-censored-regression. Jupyter Notebook