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OverviewFull Product DetailsAuthor: Alessandro Palmas , Emanuele Ghelfi , Dr. Alexandra Galina Petre , Mayur KulkarniPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781800200456ISBN 10: 1800200455 Pages: 822 Publication Date: 18 August 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Introduction to Reinforcement Learning Markov Decision Processes and Bellman Equations Deep Learning in Practice with TensorFlow 2 Getting Started with OpenAI and TensorFlow for Reinforcement Learning Dynamic Programming Monte Carlo Methods Temporal Difference Learning The Multi-Armed Bandit Problem What Is Deep Q Learning? Playing an Atari Game with Deep Recurrent Q Networks Policy-Based Methods for Reinforcement Learning Evolutionary Strategies for RLReviewsAuthor InformationAlessandro Palmas has more than 7 years of proven expertise in software development for advanced scientific applications and complex software systems. Emanuele Ghelfi is a computer science and machine learning engineer. Dr. Alexandra Galina Petre is a machine learning and data science expert. Mayur Kulkarni works in the machine learning research team at Microsoft. Anand N.S. has a strong hands-on track record of working on applications for artificial intelligence. Quan Nguyen is a programmer with a special interest in artificial intelligence. Aritra Sen currently works as a data scientist in Ericsson. Anthony So is an outstanding leader with more than 13 years of experience. Saikat Basak is a data scientist and a passionate programmer. Tab Content 6Author Website:Countries AvailableAll regions |