Pseudo Random Number Generation: a Reinforcement Learning approach
نویسندگان
چکیده
منابع مشابه
Finite Fields and Pseudo-Random Number Generation
The purpose of this set of notes is to show, as simply as possible, how the theory of finite fields applies to certain commonly used pseudo-random number generators. Only those parts of the theory of finite fields that are needed for this purpose are presented, and the development of the algebraic theory needed for this is greatly simplified for this purpose. I have tried to compose these notes...
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The first option here is not easy. Some pieces of data of this kind exist, for example from the decay of radioactive elements, but generally generation is slow and you cannot get the quantity of random numbers you require for modern applications. The second option here is what I’ll talk about today. Algorithms of this type are called “PseudoRandom Number Generators” (PRNGs). Many bad algorithms...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2020
ISSN: 1877-0509
DOI: 10.1016/j.procs.2020.03.057