
The project is about combining AI planning, game theory and multi-agent systems. Automated planning is used to decide on a sequence of actions, taking into account their
Actions and their impact in terms of optimising one (or more) metric(s). Planning methods are often used for both long- or short-term (sequential) decision processes, for planning with one or more agents, and for performing causal-effect reasoning from a higher strategic level down to a lower tactical level, making the solution executable.
01.08.2023 – 31.07.2026
betweenUnibw MandEcole Nationale Supérieure de L'Aéronautique et de l'Espace (ISAE).
andInstitut National de recherche pour l'agriculture l'alimentation et l'environnement (INRAE)– Centre, Occitanie-Toulouse