1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2024
Multi-Agent Environments for Vehicle Routing Problems
Ricardo Gama, Ricardo Cunha, Daniel Fuertes +2
Research on Reinforcement Learning (RL) approaches for discrete optimization problems has increased considerably, extending RL to areas classically dominated by Operations Research…
cs.AI2022★ 1 cited
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
Laurens Bliek, Paulo da Costa, Reza Refaei Afshar +19
This paper reports on the first international competition on AI for the traveling salesman problem (TSP) at the International Joint Conference on Artificial Intelligence 2021 (IJCA…
cs.LG2020
A Reinforcement Learning Approach to the Orienteering Problem with Time Windows
Ricardo Gama, Hugo L. Fernandes
The Orienteering Problem with Time Windows (OPTW) is a combinatorial optimization problem where the goal is to maximize the total score collected from different visited locations.…