Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Simulation modeling provides an effective and powerful approach for capturing and analyzing complex manufacturing systems. More and more decisions are based on computer generated ...
In this paper, we propose a novel energy-efficient approach, a localized routing tree (LRT) coupled with a route redirection (RR) strategy, to support various types of queries. LR...
Jie Lian, Lei Chen 0002, Kshirasagar Naik, M. Tame...
This paper addresses a common problem in dealing with range images. We propose a novel method to fit surfaces of known types via a parameter decomposition approach. This approach ...
Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array ele...
Per Gunnar Kjeldsberg, Francky Catthoor, Sven Verd...