We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
Planning for partially observable, nondeterministic domains is a very signi cant and computationally hard problem. Often, reasonable assumptions can be drawn over expected/nominal...
123 African American men in America are 65% more likely to develop prostate cancer and are two to three times more likely to die of the disease than Caucasian men [1]. While resear...
Patrick Bobbie, Renee Reams, Sandra Suther, C. Per...
Abstract. In recent years, within the planning literature there has been a departure from approaches computing total plans for given goals, in favour of approaches computing partia...
Paolo Mancarella, Fariba Sadri, Giacomo Terreni, F...
Building up spatial data infrastructures involves the task of dealing with heterogeneous data sources which often bear inconsistencies and contradictions, respectively. One main re...