Artificial Intelligence

   

Minimal and Maximal Models in Reinforcement Learning

Authors: Dimiter Dobrev

Each test gives us one property which we will denote as test result. The extension of that property we will denote as the test property. This raises the question about the nature of that property. Can it be a property of the state of the world? The answer is both yes and no. For a random model of the world the answer is negative, but if we look at the maximal model of the world the answer would flip to positive. There can be various models of the world. The minimal model knows about the past and the future the indispensable minimum. Conversely, in the maximal model the world knows everything about the past and the future. If you threw a dice the maximal model would know which side will fall up and would even know what you will do. For example, it would know whether you will throw the dice at all.

Comments: 11 Pages.

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Submission history

[v1] 2018-08-25 15:00:52
[v2] 2018-09-17 09:47:30

Unique-IP document downloads: 5 times

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