saFe learnINg for lArge scaLe socio-Technical sYstem
FINALITY in a Nutshell. FINALITY is a MSCA DN forming a novel AI curriculum for engineering researchers exploring safe techniques for socio-technical systems where human decisions for resource allocation are supported by AI. The ESRs engaged in the FINALITY DN will develop new methodological tools focusing on the following expertise areas: constrained and delayed MDP theory and their application to safe Reinforcement Learning, Online Convex Optimization and Federated Learning under constraints.
Liste des partenaires :
- INRIA
- LIA
- TECHNION
Responsable Scientifique pour le LIA : Francesco De Pellegrini (Equipe CORNET )
Date Début : 2025-03-01 Date Fin : 2028-03-01