[HTML][HTML] Reinforcement learning rebirth, techniques, challenges, and resolutions

W Shafik, M Matinkhah, P Etemadinejad… - … : International Journal on …, 2020 - joiv.org
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 …

[PDF][PDF] Emerging artificial intelligence application: reinforcement learning issues on current internet of things

SM Matinkhah, W Shafik… - 2019 16th international …, 2019 - researchgate.net
Reinforcement learning (RL) is a promising research area that focusses on the devices that
can be interconnected on the internet commonly known as the internet of things (IoT) where …

[PDF][PDF] Knowledge engineering on internet of things through reinforcement learning

W Shafik, SA Mostafavi - International Journal of Computer …, 2019 - researchgate.net
Reinforcement learning (RL) is a new research area practical in the internet of things (IoT)
where it addresses a broad and relevant task through about making decisions. RL enables …

Review on reinforcement learning, research evolution and scope of application

E Akanksha, N Sharma, K Gulati - 2021 5th international …, 2021 - ieeexplore.ieee.org
Machine learning is considered as the study of computer algorithms that enables the
machine to learn and adapt to new data without any human intervention. Reinforcement …

[图书][B] Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

S Ravichandiran, S Saito, R Shanmugamani… - 2019 - books.google.com
Apply modern reinforcement learning and deep reinforcement learning methods using
Python and its powerful libraries Key FeaturesYour entry point into the world of artificial …

A gentle introduction to reinforcement learning and its application in different fields

M Naeem, STH Rizvi, A Coronato - IEEE access, 2020 - ieeexplore.ieee.org
Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …

Reinforcement learning: a friendly introduction

D Daoun, F Ibnat, Z Alom, Z Aung, MA Azim - The International Conference …, 2021 - Springer
Reinforcement Learning (RL) is a branch of machine learning (ML) that is used to train
artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial …

Reinforcement learning algorithms: An overview and classification

F AlMahamid, K Grolinger - 2021 IEEE Canadian Conference …, 2021 - ieeexplore.ieee.org
The desire to make applications and machines more intelligent and the aspiration to enable
their operation without human interaction have been driving innovations in neural networks …

[PDF][PDF] State-of-the-art reinforcement learning algorithms

D Mehta - International Journal of Engineering Research and …, 2020 - academia.edu
This research paper brings together many different aspects of the current research on
several fields associated to Reinforcement Learning which has been growing rapidly …

[PDF][PDF] A Review of Current Perspective and Propensity in Reinforcement Learning (RL) in an Orderly Manner

S Pandey, R Agarwal, S Bhardwaj… - International Journal of …, 2023 - academia.edu
Reinforcement learning is an area of Machine Learning. The three primary types of machine
learning are supervised learning, unsupervised learning, and reinforcement learning (RL) …