—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
Abstract. State-of-the-art proof presentation systems suffer from several deficiencies. First, they simply present the proofs without motivating why the proof is done as it is do...
The process of analyzing and using information is often collaborative in nature especially given the broad and multi-disciplinary tasks that we must support today. Collaboration r...
Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, bu...
Ulrik Franke, Pontus Johnson, Robert Lagerströ...
The organization of the knowledge on the web is increasingly becoming a social task performed by online communities whose members share a common interest in classifying different t...