Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles

Conference Object

Abstract: Motivated by the promising advances of deep-reinforcement learning (DRL) applied to cooperative mult

Palabras claves:

Heterogeneous fleet, reinforcement learning, VEHICLE ROUTING PROBLEM

Autores:

Andres G. Abad, PhD, Jose Manuel Vera

Fuentes:

google

scopus