Scheduling of transmissions is one of the most fundamental problems in the context of wireless networks. In this article, we consider the problem of computing power efficient sched...
The inherent and increasing complexity, heterogeneity and unpredictability of computer networks make the task of managing these systems highly complex. The autonomic computing para...
Romildo Martins da Silva Bezerra, Joberto Sé...
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
When we encounter an English word that we do not understand, we can look it up in a dictionary. However, when an American Sign Language (ASL) user encounters an unknown sign, looki...
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...