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Deep Reinforcement Learning Hands-On de Maxim Lapan

Deep Reinforcement Learning Hands-On

Autor Maxim Lapan
en Limba Engleză Paperback – 20 iun 2018
This book is a practical, developer-oriented introduction to deep reinforcement learning (RL). Explore the theoretical concepts of RL, before discovering how deep learning (DL) methods and tools are making it possible to solve more complex and challenging problems than ever before. Apply deep RL methods to training your agent to beat arcade ...
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Specificații

ISBN-13: 9781788834247
ISBN-10: 1788834240
Pagini: 546
Dimensiuni: 197 x 237 x 30 mm
Greutate: 1.05 kg
Editura: Packt Publishing

Notă biografică

Maxim Lapan is a deep learning enthusiast and independent researcher. His background and 15 years' work expertise as a software developer and a systems architect lies from low-level Linux kernel driver development to performance optimization and design of distributed applications working on thousands of servers. With vast work experiences in big data, machine learning, and large parallel distributed HPC and non-HPC systems, he is able to explain a number of complicated concepts in simple words and vivid examples. His current areas of interest are in practical applications of deep learning, such as deep natural language processing and deep reinforcement learning. Maxim lives in Moscow, Russian Federation, with his family.