We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
In Service-Oriented Computing (SOC), fragmentation and merging of workflows are motivated by a number of concerns, among which we can cite design issues, performance, and privacy. ...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...
Developments in ubiquitous and pervasive computing herald a future in which computation is embedded into our daily lives. Such a vision raises important questions about how people...
This paper considers a scenario in which a secondary user makes opportunistic use of a channel allocated to some primary network. The primary network operates in a time-slotted ma...
Anh Tuan Hoang, Ying-Chang Liang, David Tung Chong...
The amount of electronic systems introduced in vehicles is continuously increasing: X-by-wire, complex electronic control systems and above all future applications such as automot...
Sergio Saponara, Esa Petri, Marco Tonarelli, Iacop...