Planning with Markov Decision Processes: An AI Perspective

Planning with Markov Decision Processes: An AI Perspective, 2012.

Cited by: 122|Bibtex|Views20|DOI:https://doi.org/10.2200/S00426ED1V01Y201206AIM017
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence for modeling sequential decision-making scenarios with probabilistic dynamics. They are the framework of choice when designing an intelligent agent that needs to act for long periods of time in an environment where its actions could have uncertain outcomes. MDP...More

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