Reinforcement Learning Rebirth, Techniques, Challenges, and Resolutions

Volume: 4, Issue: 3, Pages: 127 - 135
Published: Sep 30, 2020
Abstract
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 world connectivity to physical devices like electronic devices network by use interconnect with others over the Internet with the possibility of...
Paper Details
Title
Reinforcement Learning Rebirth, Techniques, Challenges, and Resolutions
Published Date
Sep 30, 2020
Volume
4
Issue
3
Pages
127 - 135
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