Browsing by Subject "discretization"
Now showing items 1-4 of 4
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(2009-05-15)The approaches for discretizing the direction variable in particle transport calculations are the discrete-ordinates method and function-expansion methods. Both approaches are limited if the transport solution is not ...
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Discretization and Approximation Methods for Reinforcement Learning of Highly Reconfigurable Systems (2010-07-14)There are a number of techniques that are used to solve reinforcement learning problems, but very few that have been developed for and tested on highly reconfigurable systems cast as reinforcement learning problems. ...
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(2009-05-15)The pooling problem is an important optimization problem that is encountered in operation and scheduling of important industrial processes within petroleum refineries. The key objective of pooling is to mix various ...
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(2016-11-15)Reinforcement learning (RL) is a powerful method for learning policies in environments with delayed feedback in a model-free way. Another powerful method for obtaining control policies is the Linear Quadratic Regulator ...