Title
Reinforcement Learning: An Introduction (Adaptive Computation And Machine Learning),Used
Delivery time: 8-12 business days (International)
Richard Sutton And Andrew Barto Provide A Clear And Simple Account Of The Key Ideas And Algorithms Of Reinforcement Learning. Their Discussion Ranges From The History Of The Field'S Intellectual Foundations To The Most Recent Developments And Applications.Reinforcement Learning, One Of The Most Active Research Areas In Artificial Intelligence, Is A Computational Approach To Learning Whereby An Agent Tries To Maximize The Total Amount Of Reward It Receives When Interacting With A Complex, Uncertain Environment. In Reinforcement Learning, Richard Sutton And Andrew Barto Provide A Clear And Simple Account Of The Key Ideas And Algorithms Of Reinforcement Learning. Their Discussion Ranges From The History Of The Field'S Intellectual Foundations To The Most Recent Developments And Applications. The Only Necessary Mathematical Background Is Familiarity With Elementary Concepts Of Probability.The Book Is Divided Into Three Parts. Part I Defines The Reinforcement Learning Problem In Terms Of Markov Decision Processes. Part Ii Provides Basic Solution Methods: Dynamic Programming, Monte Carlo Methods, And Temporaldifference Learning. Part Iii Presents A Unified View Of The Solution Methods And Incorporates Artificial Neural Networks, Eligibility Traces, And Planning; The Two Final Chapters Present Case Studies And Consider The Future Of Reinforcement Learning.
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If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
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