Abstract. During the last years a series of repositories containing learning contents for architecture have been created. With all the repositories financed, designed, implemented...
Christian Prause, Stefaan Ternier, Tim de Jong, St...
Abstract-- In this paper we investigate the effects of individual learning on an evolving population of situated agents. We work with a novel type of system where agents can decide...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Abstract. We discuss the design of an agent for coaching collaborative learning in a distance learning context. The learning domain is entity-relationship modeling, a domain in whi...