Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto

By:

Sutton, Richard S

Contributor(s):

Barto, Andrew G

Material type:

TextSeries: Adaptive computation and machine learningPublication details: Cambridge : The MIT Press, 2020Edition: 2nd edDescription: xxii, 526 pISBN:

9780262039246

Subject(s):

Reinforcement learning

DDC classification:

006.31 SUT-R

Summary: "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."-- Provided by publisher

Item type:

Books

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Current library	Call number	Status	Barcode
UMT Main Campus	006.31 SUT-R (Browse shelf(Opens below))	Available	153118

Browsing UMT Main Campus shelves Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.31 SRI-P Practical natural language processing with Python with case studies from industries using text data a scale /	006.31 SUB-A Applied machine learning for data science practitioners /	006.31 SUP- Supervised and unsupervised learning for data science /	006.31 SUT-R Reinforcement learning : an introduction /	006.31 TAU-A Artificial intelligence basics : anon-technical intoduction /	006.31 THE-M Machine learning : a Bayesian and optimization perspective /	006.31 THE-M Machine learning : from the classics to deep networks, transformers, and diffusion models /	Next

Includes bibliographical references and index.

"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."-- Provided by publisher

Eng

There are no comments on this title.

to post a comment.