no code implementations • 26 Jul 2022 • Kevin Osanlou, Christophe Guettier, Tristan Cazenave, Eric Jacopin
We describe briefly the concept of reinforcement learning algorithms and some approaches designed to date.
no code implementations • 28 Mar 2022 • Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton
Moreover, we leverage a graph neural network as a heuristic for tree search guidance.
no code implementations • 2 Aug 2021 • Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
The uncertain criterion represents the feasibility of driving through the path without requiring human intervention.
no code implementations • 2 Aug 2021 • Kevin Osanlou, Jeremy Frank, J. Benton, Andrei Bursuc, Christophe Guettier, Eric Jacopin, Tristan Cazenave
Scheduling in the presence of uncertainty is an area of interest in artificial intelligence due to the large number of applications.
no code implementations • 2 Aug 2021 • Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin
More specifically, a graph neural network is used to assist the branch and bound algorithm in handling constraints associated with a desired solution path.
no code implementations • 2 Aug 2021 • Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
In this paper, we focus on shortest path search with mandatory nodes on a given connected graph.