AAAI Publications, Twenty-Second International Joint Conference on Artificial Intelligence

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Towards Scalable MDP Algorithms
Andrey Kolobov

Last modified: 2011-06-29

Abstract


The scalability of algorithms for solving Markov Decision Processes (MDPs) has been a limiting factor for MDPs as a modeling tool. This dissertation develops theoretical and empirical techniques for solving larger MDPs than was possible before, and aims to demonstrate the achieved progress by applying these new algorithms to a real-world problem.


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