Browsing by Subject "deep reinforcement learning"
Now showing items 1-4 of 4
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(2020-03-10)This thesis applies a subset of machine learning known as deep reinforcement learning (DRL) to the problem of steady state voltage control in the electric power transmission system. In support of this work, both a new ...
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(2021-01-06)In many applications arising from geosciences, one needs to solve problems with multiple scales. For examples, simulating the complex flow, porous media applications and so on. To capture the multiscale features of a problem ...
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(2020-11-12)Whittle index policy is a powerful tool to obtain asymptotically optimal solutions for the notoriously intractable problem of restless bandits. However, finding the Whittle indices remains a difficult problem for many ...
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(2019-07-17)The freshwater resource is quite limited and is being stressed due to growing human population and climate fluctuations. Agricultural irrigation is a major consumer of fresh water and therefore plays a critical role in ...