Having the ability to solve increasingly complex problems using Reinforcement Learning
(RL) has prompted researchers to start develo** a greater interest in systematic …

Abstract Although Reinforcement Learning (RL) algorithms have made impressive progress
in learning complex tasks over the past years, there are still prevailing short-comings and …

As the Internet continues to get stronger, so does the potential risk of malicious users trying
to harm others. An intrusion detection system (IDS) can be used to alert the appropriate …

Self-adaptive systems are increasingly endowed with Artificial Intelligence technology in
order to enhance system autonomy. Most prominently, algorithms from the research field of …

Reinforcement Learning is a successful yet slow technique to train autonomous agents.
Option-based solutions can be used to accelerate learning and to transfer learned behaviors …

With the rise of Deep Learning the field of Artificial Intelligence (AI) Research has entered a
new era. Together with an increasing amount of data and vastly improved computing …

RESUMO O aprendizado por reforço é uma técnica bem sucedida, porém lenta, para treinar
agentes autônomos. Algumas soluções baseadas em políticas parciais podem ser usadas …