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We consider an agent's uncertainty about its environment and the problem of generalizing this uncertainty across states. Specifically, we focus on the problem of exploration in non-tabular reinforcement learning. Drawing inspiration from the intrinsic motivation literature, we use density models to measure uncertainty, and propose a novel algorithm for(More)
OBJECTIVES The aim of this study was to compare the duration and severity of postoperative pain for two different tonsillotomy techniques (radiofrequency [RF] and microdebrider [MD]) with the standard tonsillectomy. METHODS This non-randomised retrospective study, carried out from February 2011 to September 2012, investigated 128 children in two(More)