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A more expressive behavioral logic for decision-theoretic planning

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Gretton, Charles

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Springer

Abstract

We examine the problem of compactly expressing models of non-Markovian reward decision processes (NMRDP). In the field of decision-theoretic planning NMRDPs are used whenever the agent’s reward is determined by the history of visited states. Two differe

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Lecture Notes in Computer Science (LNCS)

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Restricted until

2037-12-31