Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
A component framework for defining content-based network processing is presented. It is unique among other existing approaches because it enables contents to naturally define th...
Regular languages have proved useful for the symbolic state exploration of infinite state systems. They can be used to represent infinite sets of system configurations; the tran...
We consider an extension of integer linear arithmetic with a "star" operator takes closure under vector addition of the solution set of a linear arithmetic subformula. We...
atic presentation for a relational structure is, informally, an abstract representation of the elements of that structure by means of a regular language such that the relations ca...
Alan J. Cain, Graham P. Oliver, Nikola Ruskuc, Ric...