Tag: Reinforcement

December 12, 2023

Deep Reinforcement Learning in Action, Video Edition

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Free Download Deep Reinforcement Learning in Action, Video Edition
Released 3/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12h | Size: 1.74 GB
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.

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September 28, 2023

Fundamentals of Reinforcement Learning

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Free Download Fundamentals of Reinforcement Learning by Rafael Ris-Ala
English | PDF EPUB (True) | 2023 | 97 Pages | ISBN : 3031373448 | 18.8 MB
Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization.

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August 17, 2023

Reinforcement Learning for Maritime Communications

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Free Download Reinforcement Learning for Maritime Communications
English | 2023 | ISBN: 3031321375 | 268 Pages | PDF EPUB (True) | 33 MB
This book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, privacy-aware Internet of Things (IoT) communications, intelligent resource management and location privacy protection. In the IRS aided maritime communication system, the reflecting elements of IRS can be intelligently controlled to change the phase of signal, and finally enhance the received signal strength of maritime ships (or sensors) or jam maritime eavesdroppers illustrated in this book.

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August 17, 2023

Reinforcement Learning Optimal Feedback Control with Industrial Applications

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Free Download Reinforcement Learning: Optimal Feedback Control with Industrial Applications
English | 2023 | ISBN: 3031283937 | 539 Pages | PDF EPUB (True) | 49 MB
This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player systems.

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