JFPDA aura lieu le jeudi 30 juin. Voici le programme prévisionnel. Les exposés des articles acceptés durent 30min questions incluses.
Conférence invitée Prof. Franck Gechter
Planification robuste pour la collaboration homme-robot Yang You, Vincent Thomas, Francis Colas, Rachid Alami and Olivier Buffet
An Implemented System for Cognitive Planning Jorge Fernandez, Dominique Longin, Emiliano Lorini and Frédéric Maris
Planification automatique de scénarios d’entraînement robustes Romain Goutiere, Domitile Lourdeaux and Sylvain Lagrue
Conférence invitée Ing. Jean-François Puget
Title: Monte Carlo Search
Abstract: Monte Carlo Search is a family of general search algorithms that have many applications in different domains. It is the state of the art in perfect and imperfect information games. Other applications include the RNA inverse folding problem, Logistics, Multiple Sequence Alignment, General Game Playing, Puzzles, 3D Packing with Object Orientation, Cooperative Pathfinding, Software testing and heuristic Model-Checking. In recent years, many researchers have explored different variants of the algorithms, their relations to Deep Reinforcement Learning and their different applications. The talk will give a broad overview of Monte Carlo Search and of its applications.
Learning Path Constraints for UAV Autonomous Navigation under Uncertain GNSS Availability Marion Zaninotti, Charles Lesire, Yoko Watanabe and Caroline P. Carvalho Chanel
Exploitation vs Caution: Bayesian Risk-sensitive Policies for Offline Learning Giorgio Angelotti, Nicolas Drougard and Caroline Ponzoni Carvalho Chanel