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Reducing The Complexity Of Reinforcement Learning In POMDPs By Decomposition Into Decision And Perceptual Processes
(Computer Science & Engineering, 2013-03-20)
Markov Decision Processes (MDPs) and Partially Observable Markov Decision Processes (POMDPs) are very powerful and general frameworks to model decision and decision learning tasks in a wide range of problem domains. As a ...