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Exploring Reinforcement Learning Strategies
Safad Ismail
(Author)
·
P. Sathya Narayan
(Author)
·
Noor Publishing
· Paperback
Exploring Reinforcement Learning Strategies - Ismail, Safad ; Sathya Narayan, P.
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Origin: U.S.A.
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Wednesday, August 14.
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Synopsis "Exploring Reinforcement Learning Strategies"
Reinforcement learning is a type of machine learning where an agent interacts with its environment, learning through trial and error to maximize rewards.The aim of this book is to serve all those to intend to learn Reinforcement Learning especially for Seventh Semester ( Honours) KTU students. From this book, you will learn the basics of Reinforcement Learning and Various Statistical Concept in an efficient manner.This book is also covering the syllabus of M-Tech, BCA, MCA, AMIE, B.Tech of various Universities and other capable courses. This book has been divided in to five modules based on KTU syllabus, each of which contains the concerned text and examples. Each modules endswith a set of exercises and previous year KTU questions. Answer to the selected questions are given at the end of each modules. The use of very simple illustrations to explain the difficult concepts makes this book reader friendly.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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