Storage System Management Using Reinforcement Learning Techniques and Nonlinear Models
In this thesis, modeling and optimization in the field of storage management under stochastic condition will be investigated using two different methodologies: Simulation Optimization Techniques (SOT), which are usually categorized in the area of Reinforcement Learning (RL), and Nonlinear Modeling T...
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| Language: | en |
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2009
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| Online Access: | http://hdl.handle.net/10012/4213 |