Hutter, MarcusServedio, Rocco A.2015-08-262015-08-260304-3975http://hdl.handle.net/1885/14966This special issue contains expanded versions of papers that appeared in preliminary form in the proceedings of the 18th International Conference on Algorithmic Learning Theory (ALT 2007), which was held in Sendai, Japan, during October 1–4, 2007. Algorithmic Learning Theory is a conference series which is dedicated to the theoretical study of the algorithmic aspects of learning. The best papers of the conference ALT 2007 were invited for this special issue and after a thorough reviewing process, most of them qualified for this Special Issue on Algorithmic Learning Theory of Theoretical Computer Science. In the following, a short introduction is given to each of these papers.© 2009 Elsevier B.V.algorithmic learning theory2009-04-2810.1016/j.tcs.2009.01.008