This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
We consider the problem of "progressively" joining relations whose records are continuously retrieved from remote sources through an unstable network that may incur temp...
Yufei Tao, Man Lung Yiu, Dimitris Papadias, Marios...
A steepest descent based bit allocation method with polynomial iteration complexity for minimizing the sum of frame distortions under a total bit rate constraint is presented for ...
We address the problem of scalable distributed reasoning, proposing a technique for materialising the closure of an RDF graph based on MapReduce. We have implemented our approach o...
Jacopo Urbani, Spyros Kotoulas, Eyal Oren, Frank v...
—Path planning for mobile robots is a well researched problem for over three decades. In this paper, we test and evaluate a new approach based on Shi and Karl Level Sets for mobi...