Abstract--This paper traces the development of neuralnetwork (NN)-based feedback controllers that are derived from the principle of adaptive/approximate dynamic programming (ADP) a...
Algorithmic composition of musical pieces is one of the most popular areas of computer aided music research. Various attempts have been made successfully in the area of music comp...
In computer networks, the Strict Priority (SP) discipline is perhaps the most common and simplest method to schedule packets from different classes of applications, each with diver...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Augmented Reality brings technology developed for virtual environments into the real world. This approach can be used to provide instructions for routine maintenance and error diag...
Reinhold Behringer, Steven Chen, Venkataraman Sund...