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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

Genetic algorithms

Another class of black-box methods that has recently become a popular alternative to the value-based and PG methods is genetic algorithms or GA. It is a large family of optimization methods with more than two decades of history behind it and a simple core idea of generating the population of N individuals, each of which is evaluated with the fitness function. Every individual means some combination of model parameters. Then some subset of top performers is used to produce (which is called mutation) the next generation of the population. This process is repeated until we're satisfied with the performance of our population.

There are lots of different methods in the GA family, for example, how to complete the mutation of the individuals ...

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Publisher Resources

ISBN: 9781788834247