Variational Planning for Graph-based MDPs

NeurIPS 2013 Qiang ChengQiang LiuFeng ChenAlexander T. Ihler

Markov Decision Processes (MDPs) are extremely useful for modeling and solving sequential decision making problems. Graph-based MDPs provide a compact representation for MDPs with large numbers of random variables... (read more)

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