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...
Semiquantitative models combine both qualitative and quantitative knowledge within a single semiquantitative qualitative differential equation (SQDE) representation. With current ...
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Abstract. The following paper describes recent work on NED-2, an intelligent information system for ecosystem management currently in development by the USDA Forest Service. Using ...
Frederick Maier, Donald Nute, Walter D. Potter, Ji...
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...