Name: Reinforcement Learning

Full name: Reinforcement Learning: An Introduction

Author: Richard S. Sutton
Rank:

Rating:

Original Rating:

Pop Rating:

Genres/categories:
Non Fiction

Purchase/reserch links:

ISBNs:
9780262193986
0262193981
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 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.
Similar books:


Categories:
Science fiction
Fantasy
Mystery
Romance
Business
Classic
Sports
Young adult
Humor
Memoirs
See all categories...