CORDIS Project
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This project focuses on developing efficient methods for automated decision-making in uncertain environments, applicable to areas like network security and robotics. It aims to create algorithms for optimal learning and decision-making, including collaborative planning among multiple agents, and will produce open-sourc…
Many applications require efficient methods for automated decision making, such as control systems, crisis response, finance, logistics, network security, robotics and traffic management.
These problems involve sequential learning and decision making under uncertainty in an unknown environment.
As we have incomplete information about the state and dynamics of the environment, the outcome of any specific plan is uncertain.
Statistical decision theory offers a framework for finding optimal soluti…
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
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