14 citations · 52 across the 22 of their papers we have counts for
9 papers · 2 filters
Generalized Nested Rollout Policy Adaptation with Dynamic Bias for Vehicle Routing
Julien Sentuc, Tristan Cazenave, Jean-Yves Lucas
In this paper we present an extension of the Nested Rollout Policy Adaptation algorithm (NRPA), namely the Generalized Nested Rollout Policy Adaptation (GNRPA), as well as its use…
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning
Kevin Osanlou, Christophe Guettier, Andrei Bursuc +2
Learning-based methods are increasingly popular for search algorithms in single-criterion optimization problems. In contrast, for multiple-criteria optimization there are significa…
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
Kevin Osanlou, Jeremy Frank, J. Benton +4
Scheduling in the presence of uncertainty is an area of interest in artificial intelligence due to the large number of applications. We study the problem of dynamic controllability…
Constrained Shortest Path Search with Graph Convolutional Neural Networks
Kevin Osanlou, Christophe Guettier, Andrei Bursuc +2
Planning for Autonomous Unmanned Ground Vehicles (AUGV) is still a challenge, especially in difficult, off-road, critical situations. Automatic planning can be used to reach missio…
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
Kevin Osanlou, Andrei Bursuc, Christophe Guettier +2
Deep learning-based methods are growing prominence for planning purposes. In this paper, we present a hybrid planner that combines a graph machine learning model and an optimal sol…
Batch Monte Carlo Tree Search
Tristan Cazenave
Making inferences with a deep neural network on a batch of states is much faster with a GPU than making inferences on one state after another. We build on this property to propose…