Cargando…
Hands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.x
Reinforcement Learning is an exciting part of machine learning. It has uses in technology from autonomous cars to game playing, and creates algorithms that can adapt to environmental changes. This book helps to understand how to implement RL with R, and explores interesting practical examples, such...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
Packt Publishing
2019
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2716498 |
_version_ | 1780965468954165248 |
---|---|
author | Ciaburro, Giuseppe |
author_facet | Ciaburro, Giuseppe |
author_sort | Ciaburro, Giuseppe |
collection | CERN |
description | Reinforcement Learning is an exciting part of machine learning. It has uses in technology from autonomous cars to game playing, and creates algorithms that can adapt to environmental changes. This book helps to understand how to implement RL with R, and explores interesting practical examples, such as using tabular Q-learning to control robots. |
id | cern-2716498 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Packt Publishing |
record_format | invenio |
spelling | cern-27164982021-04-21T18:09:00Zhttp://cds.cern.ch/record/2716498engCiaburro, GiuseppeHands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.xMathematical Physics and MathematicsReinforcement Learning is an exciting part of machine learning. It has uses in technology from autonomous cars to game playing, and creates algorithms that can adapt to environmental changes. This book helps to understand how to implement RL with R, and explores interesting practical examples, such as using tabular Q-learning to control robots.Packt Publishingoai:cds.cern.ch:27164982019 |
spellingShingle | Mathematical Physics and Mathematics Ciaburro, Giuseppe Hands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.x |
title | Hands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.x |
title_full | Hands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.x |
title_fullStr | Hands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.x |
title_full_unstemmed | Hands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.x |
title_short | Hands-on reinforcement learning with R: get up to speed with building self-learning systems using R 3.x |
title_sort | hands-on reinforcement learning with r: get up to speed with building self-learning systems using r 3.x |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2716498 |
work_keys_str_mv | AT ciaburrogiuseppe handsonreinforcementlearningwithrgetuptospeedwithbuildingselflearningsystemsusingr3x |