research
∙
10/19/2022
Margin Optimal Classification Trees
In recent years there has been growing attention to interpretable machin...
share
research
∙
07/30/2022
Solving the vehicle routing problem with deep reinforcement learning
Recently, the applications of the methodologies of Reinforcement Learnin...
research
∙
07/30/2022
PUSH: a primal heuristic based on Feasibility PUmp and SHifting
This work describes PUSH, a primal heuristic combining Feasibility Pump ...
research
∙
06/13/2022
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
The Associazione Medici Diabetologi (AMD) collects and manages one of th...
research
∙
10/18/2021
An actor-critic algorithm with deep double recurrent agents to solve the job shop scheduling problem
There is a growing interest in integrating machine learning techniques a...
research
∙
09/01/2020
Solving the single-track train scheduling problem via Deep Reinforcement Learning
Every day, railways experience small inconveniences, both on the network...
research
∙
05/28/2020
