Regular Decision Processes for Grid Worlds

Markov decision processes are typically used for sequential decision making under uncertainty. For many aspects however, ranging from constrained or safe specifications to various kinds of temporal (non-Markovian) dependencies in task and reward structures, extensions are needed. To that end, in rec...

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Bibliographische Detailangaben

Hauptverfasser:	Lenaers, Nicky, van Otterlo, Martijn
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence
Online-Zugang:	Volltext bestellen
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