Scaling solutions to Markov Decision Problems
The Markov Decision Problem (MDP) is a widely applied mathematical model useful for describing a wide array of real world decision problems ranging from navigation to scheduling to robotics. Existing methods for solving MDPs scale poorly when applied to large domains where there are many components...
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Georgia Institute of Technology
2012
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| Online Access: | http://hdl.handle.net/1853/42906 |