Multi-agent Systems and Data Intelligence

Multi-agent systems comprise multiple decision-making agents which act and interact autonomously in a shared environment towards achieving specified tasks, such as ISR missions. Each agent is a software system with interfaces to sense potentially noisy and incomplete information from the environment, and to choose actions within the environment such as high-level planning decisions (resource allocation and coalition formation) or low-level controls (movements of mobile assets).

Develop novel algorithms for multi-agent reinforcement learning (MARL), enabling multiple autonomous assets to learn how to interact and collaborate towards a specified task.

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