on all orders of $59 or more

6% OFF your purchase of $100 or more!
Use coupon code THURSDAY in checkout.

Statistical Reinforcement Learning: Modern Machine Learning Approaches

, by ;
Statistical Reinforcement Learning: Modern Machine Learning Approaches by Sugiyama; Masashi, 9781439856895
Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
  • ISBN: 9781439856895 | 1439856893
  • Cover: Hardcover
  • Copyright: 3/16/2015
  • Rent Textbook


  • Buy New Textbook

    Usually Ships in 3-5 Business Days

  • eTextbook

    Available Instantly

    Online: 365 Days

    Downloadable: Lifetime Access

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and game players have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RLm. The book provides a bridge between RL and data mining and machine learning research.

You might also enjoy...

Please wait while the item is added to your bag...