The areas of On-Line Algorithms and Machine Learning are both concerned with problems of making decisions about the present based only on knowledge of the past. Although these area...
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
: We propose a framework and polynomial algorithms for semantic-based automated Web service composition, fully compliant with Semantic Web technologies. The approach exploits the r...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...
In a testing environment, where an IUT communicates with multiple entities, a tester may have di ering degrees of controllability on the interactions between these entities and th...
Understanding distributed applications is a tedious and di cult task. Visualizations based on process-time diagrams are often used to obtain a better understanding of the executio...