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Titlebook: Robot Learning; Jonathan H. Connell,Sridhar Mahadevan Book 1993 Kluwer Academic Publishers 1993 Navigation.algorithms.artificial intellige

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disorders. Many bladder disorders result from replacement of mucosal and detrusor tissues with connective tissue, and attention is given to the nature of fibrosis and therapeutic strategies to reverse this pathology. Contractions arising from the detrusor layer are generally evoked by efferent nerv
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Book 1993s would relieve humans from much ofthe drudgery of programming and would potentially allow operation inenvironments that were changeable or only partially known. Progresstowards this goal would also make fundamental contributions toartificial intelligence by furthering our understanding of how tosuc
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Learning Multiple Goal Behavior via Task Decomposition and Dynamic Policy Merging, of reinforcement learning to a simple class of.Not surprisingly, we find that the most straightforward, monolithic approach scales poorly, since the size of the state space is exponential in the number of goals. As an alternative, we propose a simple modular architecture which distributes the learn
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Memory-based Reinforcement Learning: Converging with Less Data and Less Real Time,al Differencing and Q-learning have fast real time performance. Classical methods are slower, but more accurate, because they make full use of the observations. Prioritized Sweeping aims for the best of both worlds. It uses all previous experiences both to prioritize important dynamic programming sw
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