This paper presents a framework for multiresolution compression and geometric reconstruction of arbitrarily dimensioned data designed for distributed applications. Although being ...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Abstract— Continuing growth in optical link speeds places increasing demands on the performance of Internet routers, while deployment of embedded and distributed network services...
David E. Taylor, John W. Lockwood, Todd S. Sproull...