125 citations
- Université Paris-SudFR46 papers
- Centre National de la Recherche ScientifiqueFR32 papers
- Institut national de recherche en sciences et technologies du numériqueFR27 papers
- Centre Inria de SaclayFR19 papers
- Université Paris CitéFR12 papers
- Université Paris-SaclayFR7 papers
- Centre for Quantum TechnologiesSG4 papers
- Hungarian Academy of SciencesHU4 papers
- Laboratoire d'Informatique Algorithmique: Fondements et ApplicationsFR3 papers
- National University of SingaporeSG3 papers
- Université Libre de BruxellesBE3 papers
- Développement Adaptation et VieillissementFR2 papers
18 papers · 1 filter
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
All standard AI planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Further…
Layer-wise learning of deep generative models
Ludovic Arnold, Yann Ollivier
When using deep, multi-layered architectures to build generative models of data, it is difficult to train all layers at once. We propose a layer-wise training procedure admitting a…
Cumulative Step-size Adaptation on Linear Functions
Alexandre Chotard, Anne Auger, Nikolaus Hansen
The CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, where the step size is adapted measuring the length of a so-called cumulative path. The cumulative path is…
Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling
Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag
Greedy heuristics may be attuned by looking ahead for each possible choice, in an approach called the rollout or Pilot method. These methods may be seen as meta-heuristics that can…
QIRAL: A High Level Language for Lattice QCD Code Generation
Denis Barthou, Gilbert Grosdidier, Michael Kruse +2
Quantum chromodynamics (QCD) is the theory of subnuclear physics, aiming at mod- eling the strong nuclear force, which is responsible for the interactions of nuclear particles. Lat…
APRIL: Active Preference-learning based Reinforcement Learning
Riad Akrour, Marc Schoenauer, Michèle Sebag
This paper focuses on reinforcement learning (RL) with limited prior knowledge. In the domain of swarm robotics for instance, the expert can hardly design a reward function or demo…