We love eBooks
    Download Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series) pdf, epub, ebook
    Publisher

    This site is safe

    You are at a security, SSL-enabled, site. All our eBooks sources are constantly verified.

    Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)

    By Richard S. Sutton

    What do you think about this eBook?

    About

    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 temporal-difference 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.
    Download eBook Link updated in 2017
    Maybe you will be redirected to source's website
    Thank you and welcome to our newsletter list! Ops, you're already in our list.

    Related to this eBook

    Browse collections Find similar eBooks

    Keep connected to us

    Follow us on Social Media or subscribe to our newsletter to keep updated about eBooks world.

    Explore eBooks

    Browse all eBook collections

    Collections is the easy way to explore our eBook directory.