Reinforcement Learning Rebirth, Techniques, Challenges, and Resolutions

Reinforcement Learning Rebirth, Techniques, Challenges, and Resolutions

Reinforcement learning (RL) is a new propitious research space that is well-known nowadays on the internet of things (IoT), media and social sensing computing are addressing a broad and pertinent task through making decisions sequentially by deterministic and stochastic evolutions. The IoTs extend w...

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Bibliographic Details
Main Authors: Wasswa Shafik, Mojtaba Matinkhah, Parisa Etemadinejad, Mammann Nur Sanda
Format: Article
Language:English
Published: Politeknik Negeri Padang 2020-09-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
internet of things
reinforcement learning
artificial neural networks
learning automata
q-learning
markov decision process.
Online Access:http://joiv.org/index.php/joiv/article/view/376

Internet

http://joiv.org/index.php/joiv/article/view/376

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