Dynamical Pseudo-Random Number Generator Using Reinforcement Learning

Dynamical Pseudo-Random Number Generator Using Reinforcement Learning

Pseudo-random number generators (PRNGs) are based on the algorithm that generates a sequence of numbers arranged randomly. Recently, random numbers have been generated through a reinforcement learning mechanism. This method generates random numbers based on reinforcement learning characteristics tha...

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Bibliographic Details
Main Authors: Sungju Park, Kyungmin Kim, Keunjin Kim, Choonsung Nam
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
reinforcement learning
dynamical pseudo-random number generator
RNN
CNN
agent
environment
Online Access:https://www.mdpi.com/2076-3417/12/7/3377

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https://www.mdpi.com/2076-3417/12/7/3377

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