Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
An architectural aspect is a concern that cuts across architecture ty units and cannot be effectively modularized using the given abstractions of conventional Architecture Descript...
In the recent development of avionics systems, Integrated Modular Avionics (IMA) is advocated for next generation architecture that needs integration of mixedcriticality real-time...
Yann-Hang Lee, Daeyoung Kim, Mohamed F. Younis, Je...
The main advantage of distributed controlled robots and subsystems is the decentralized task execution by the system components. This way, properties for the design of flexible co...