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...
Coordinated action for a team of robots is a challenging problem, especially in dynamic, unpredictable environments. Robot soccer is an instance of a domain where well defined goa...
Michael H. Bowling, Brett Browning, Manuela M. Vel...
Complexity is the core problem of contemporary information technology, as the "artificial complicatedness" of its artefacts is exploding. Intellectually easy and economic...
During the past decade, object-orientation (OO) has become the dominant software development methodology, accompanied by a number of modeling notations, programming languages, and...
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...