Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Espec...
A method of `network filtering' has been proposed recently to detect the effects of certain external perturbations on the interacting members in a network. However, with larg...
—As smart home technologies continue to be deployed in research and real world environments, there continues to be a need for quality visualization of the smart home data. This d...
Creating modular behaviours in JADE using a traditional method such as the FSM (Finite State Machine) can be a difficult task to achieve. The first issue with FSMs is that they do...
Iva Bojic, Tomislav Lipic, Mario Kusek, Gordan Jez...