Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
This paper presents the results related to the development of a flexible domain-based access control infrastructure for distributed Grid-based Collaborative Environments and Comple...
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
The current implementation of out-of-band control in ATM networks inhibits their successful exploitation. The confusion in signalling protocols between application services and th...