Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization

Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization

With the increase of machine learning usage by industries and scientific communities in a variety of tasks such as text mining, image recognition and self-driving cars, automatic setting of hyper-parameter in learning algorithms is a key factor for obtaining good performances regardless of user exp...

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Bibliographic Details
Main Authors: Juan Cruz Barsce, Jorge Andrés Palombarini, Ernesto Carlos Martínez
Format: Article
Language:English
Published: Centro Latinoamericano de Estudios en Informática 2018-08-01
Series:CLEI Electronic Journal
Subjects:
Autonomous Reinforcement Learning
Hyper-parameter Optimization
Meta-Learning
Bayesian Optimization
Gaussian Process Regression
Online Access:http://clei.org/cleiej-beta/index.php/cleiej/article/view/33

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http://clei.org/cleiej-beta/index.php/cleiej/article/view/33

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