— The real time flexible operation of a car-like mobile robot with nonholonomic constraints in dynamic environment is still a very challenging problem. The difficulty lies in t...
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Abstract— The switch architecture with the combined inputcrosspoint queueing (CICQ) scheme has been recognized as a practical promising solution for building cost-effective highp...
Peer-to-Peer (P2P) systems are currently used in a variety of applications. File sharing applications and ad hoc networking have fueled the usage of these systems. P2P systems gen...