Reinforcement learning : an introduction /
- Publication info:
- Cambridge, Massachusetts : The MIT Press, 
Peter F. Bronfman Business Library
|Due: Nov 05, 2019||BRONF-BOOK|
On the Shelf
Computational learning theory : EuroCOLT '93 : based on the proceedings of the First European Conference on Computational Learning Theory, organized by the Institute of Mathematics and Its Applications and held at Royal Holloway, University of London in December, 1993 / edited by John Shawe-Taylor and Martin Anthony.
Q 325.7 E97 1993
- Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.
- Main Author:
- Sutton, Richard S.,
- Other Authors:
The MIT Press, 2018
- Second edition.
"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 while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."--
- Physical Description:
xxii, 526 pages ; 24 cm.
Includes bibliographical references and index.
- Cambridge, Massachusetts : The MIT Press,