Deep Reinforcement Learning: Frontiers of Artificial Intelligence
Brand: Springer
Categories: Books, Computers & Technology, Computer Science



Dimensions: 6 x 0.5 x 9.5 inches
Language: English
ISBN-10: 9811382840
Publisher: Springer
Print length: 220 pages
Publication date: July 11, 2019
ISBN-13: 978-9811382840
Edition: 1st ed. 2019
subtitle: 1st ed. 2019 Edition
author: Visit Amazon's Mohit Sewak Page search results Mohit Sewak
review: Editorial Reviews From the Back Cover This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code. This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds – deep learning and reinforcement learning – to tap the potential of ‘advanced artificial intelligence’ for creating real-world applications and game-winning algorithms. About the Author Mr. Sewak has been the Lead Data Scientist/Analytics Architect for a number of important international AI/DL/ML software and industry solutions and has also been involved in providing solutions and research for a series of cognitive features for IBM Watson Commerce. He has 14 years of experience working as a solutions architect using technologies like TensorFlow, Torch, Caffe, Theano, Keras, Open AI, SpaCy, Gensim, NLTK, Watson, SPSS, Spark, H2O, Kafka, ES, and others.