A more expressive behavioral logic for decision-theoretic planning
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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|Source:||Lecture Notes in Computer Science (LNCS)|
|01_Gretton_A_more_expressive_behavioral_2014.pdf||268.11 kB||Adobe PDF||Request a copy|
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