Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
: Coordination Layer: Formulate passivity-based conditions that guarantee agents—modelled as general nonlinear systems—synchronize their outputs or follow desired collective patterns purely through local
-
to human and environmental interactions across various sectors such as healthcare, education, and urban planning. The primary aim of this project is to develop Multi-Intelligence Agents (MIAs) that combine
-
Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
-
: Springer, 2011, pp. 34–48. doi: 10.1007/978-3-642-23808-6_3. [4] C. F. Hayes et al., ‘A practical guide to multi-objective reinforcement learning and planning’, Auton. Agents Multi-Agent Syst., vol