Richard S. Sutton

Richard S. Sutton

Homepage

Richard S. Sutton is Professor and iCORE chair Department of Computing Science at University of Alberta. Dr. Sutton is considered one of the founding fathers of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning, policy gradient methods, the Dyna architecture.

Back to all authors

Books Authored by Richard S. Sutton

Reinforcement Learning: An Introduction, Second Edition (Draft)

Post date: 09 Jan 2017
This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.
Author(s): Andrew G. Barto Richard S. Sutton
Publication date: 30 Sep 2016
Document Type: Textbook
Tags: Machine Learning
 
Reinforcement Learning: An Introduction, Second Edition (Draft)

Reinforcement Learning: An Introduction, Second Edition (Draft)

Post date: 09 Jan 2017
This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.
Author(s): Andrew G. Barto Richard S. Sutton
Publication date: 30 Sep 2016
Document Type: Textbook
Tags: Machine Learning


Reinforcement Learning: An Introduction

Post date: 04 Oct 2007
Provides a clear and simple account of the key ideas and algorithms of reinforcement learning. Familiarity with elementary concepts of probability is assumed.
 
Reinforcement Learning: An Introduction

Reinforcement Learning: An Introduction

Post date: 04 Oct 2007
Provides a clear and simple account of the key ideas and algorithms of reinforcement learning. Familiarity with elementary concepts of probability is assumed.


Book Categories