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Equivalence classes for optimizing risk models in Markov decision processes

โœ Scribed by Yoshio Ohtsubo; Kenji Toyonaga


Publisher
Springer
Year
2004
Tongue
English
Weight
295 KB
Volume
60
Category
Article
ISSN
0340-9422

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Equivalence notions and model minimizati
โœ Robert Givan; Thomas Dean; Matthew Greig ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 566 KB

Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for solving them run in time polynomial in the size of the state space, where this size is extremely large for most real-world