The advent of the Internet has made the transmission of personally identifiable information common and often inadvertent to the user. As a consequence, individuals worry that comp...
Il-Horn Hann, Kai Lung Hui, Sang-Yong Tom Lee, Iva...
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
This work considers the problem of control of nonlinear process systems subject to input constraints and actuator faults. Faults are considered that preclude the possibility of con...