This is a preview. Log in through your library . Abstract A general sequential model is defined where returns are in a partially ordered set. A distinction is made between maximal (nondominated) ...
This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...
https://doi.org/10.2307/1243989 • https://www.jstor.org/stable/1243989 Copy URL A dynamic programming model that allocates irrigations among competing crops, while ...
In addition to other methods we’ve discussed, a third type of variable spending model uses dynamic programming methods. These methods rely on complex computing power and mathematical equations to ...
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