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OverviewFull Product DetailsAuthor: Sudharsan RavichandiranPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited Edition: 2nd Revised edition ISBN: 9781839210686ISBN 10: 1839210680 Pages: 760 Publication Date: 30 September 2020 Audience: General/trade , General 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 Fundamentals of Reinforcement Learning A Guide to the Gym Toolkit The Bellman Equation and Dynamic Programming Monte Carlo Methods Understanding Temporal Difference Learning Case Study - The MAB Problem Deep Learning Foundations A Primer on TensorFlow Deep Q Network and Its Variants Policy Gradient Method Actor-Critic Methods - A2C and A3C Learning DDPG, TD3, and SAC TRPO, PPO, and ACKTR Methods Distributional Reinforcement Learning Imitation Learning and Inverse RL Deep Reinforcement Learning with Stable Baselines Reinforcement Learning Frontiers Appendix 1 - Reinforcement Learning Algorithms Appendix 2 - AssessmentsReviewsAuthor InformationSudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow. Tab Content 6Author Website:Countries AvailableAll regions |