Guidelines for clinical practice are being introduced in an extensive way in more and more different fields of medicine They have the potential to improve the quality and cost-effi...
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Abstract. Virtual creatures operating in a physically realistic 3D environment, as originally introduced by Karl Sims, provide a challenging domain for artificial evolution. Howeve...
Abstract. In recent years, within the planning literature there has been a departure from approaches computing total plans for given goals, in favour of approaches computing partia...
Paolo Mancarella, Fariba Sadri, Giacomo Terreni, F...