Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms ↗ ↖ Guillaume Bono Jilles Dibangoye Olivier Simonin Laëtitia Matignon Florian Pereyron
ELSIM: End-to-end learning of reusable skills through intrinsic motivation ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
ELSIM: End-to-end learning of reusable skills through intrinsic motivation ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
ELSIM: End-to-end learning of reusable skills through intrinsic motivation ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
Étude de la motivation intrinsèque en apprentissage par renforcement ↗ ↖ Arthur Aubret Laëtitia Matignon Salima Hassas
HEART: Using Abstract Plans as a Guarantee of Downward Refinement in Decompositional Planning ↗ ↖ Antoine Grea Samir Aknine Laëtitia Matignon
TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d'une série temporelle d'éléments discrets, application dans un contexte d'intelligence ambiante ↗ ↖ Benoit Vuillemin Lionel Delphin-Poulat Rozenn Nicol Laëtitia Matignon Salima Hassas
TSRuleGrowth: Mining partially-ordered prediction rules from a time series of discrete elements, application to a context of ambient intelligence ↗ ↖ Benoit Vuillemin Lionel Delphin-Poulat Rozenn Nicol Laëtitia Matignon Salima Hassas
Context Aware Robot Architecture, Application to the RoboCup@Home Challenge ↗ ↖ Fabrice Jumel Jacques Saraydaryan Raphael Leber Laëtitia Matignon Eric Lombardi Christian Wolf Olivier Simonin
Cooperative Multi-Agent Policy Gradient ↗ ↖ Guillaume Bono Jilles Dibangoye Laëtitia Matignon Florian Pereyron Olivier Simonin