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 ...
There is today little doubt on the fact that a high-performance and cost-effective Network-on-Chip can only be designed in 45nm and beyond under a relaxed synchronization assumpti...
Daniele Ludovici, Alessandro Strano, Georgi Nedelt...
For documents with complex or atypical annotations, multihierarchical structures play the role of the document tree in traditional XML documents. We define a model of overlapping...
—Supporting quality of service (QoS) in large-scale broadband networks poses major challenges, due to the intrinsic complexity of the corresponding resource allocation problems. ...
Universal Coalgebra provides the notion of a coalgebra as the natural mathematical generalization of state-based evolving systems such as (infinite) words, trees, and transition s...