Abstract
The overarching goal of MENTOR is to combine Multi-Agent Reinforcement Learning with control theoretic approaches for the development of new more efficient strategies for the control of autonomous multi-agent systems and explore their application to the problem of designing cooperative agents able to perform challenging search-and-rescue operations in uncertain environments. The project is highly focused on combining control theoretic tools with machine learning. It therefore comprises two Reaserch Units at the University of Naples Federico II and the University of Bologna with complementary expertise and know-how on control techniques, reinforcement learning, mathematical modelling, complex systems, herding and autonomous systems.
Project details
Unibo Team Leader: Mirco Musolesi
Unibo involved Department/s:
Dipartimento di Informatica - Scienza e Ingegneria
Coordinator:
Università degli Studi di NAPOLI Federico II(Italy)
Total Unibo Contribution: Euro (EUR) 88.000,00
Project Duration in months: 29
Start Date:
28/09/2023
End Date:
28/02/2026
