Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
Performance evaluation is a central issue in the design of complex real-time systems. In this work, we propose an extension of socalled "Max-Plus" algebraic techniques to...
—Although fall is a rare event in the life of a humanoid robot, we must be prepared for it because its consequences are serious. In this paper we present a fall strategy which ra...
Abstract. This paper studies computational issues related to the problem of reasoning about actions and change (RAC) by exploiting its link with the Answer Set Programming paradigm...
Yannis Dimopoulos, Antonis C. Kakas, Loizos Michae...