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Richard S. Sutton
Researcher at University of Alberta
Publications - 242
Citations - 85670
Richard S. Sutton is an academic researcher from University of Alberta. The author has contributed to research in topics: Reinforcement learning & Temporal difference learning. The author has an hindex of 70, co-authored 226 publications receiving 75079 citations. Previous affiliations of Richard S. Sutton include AT&T Labs & University of Rochester.
Papers
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Book
Reinforcement Learning: An Introduction
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Book
Introduction to Reinforcement Learning
TL;DR: In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning.
Proceedings Article
Policy Gradient Methods for Reinforcement Learning with Function Approximation
TL;DR: This paper proves for the first time that a version of policy iteration with arbitrary differentiable function approximation is convergent to a locally optimal policy.
Journal ArticleDOI
Learning to Predict by the Methods of Temporal Differences
TL;DR: This article introduces a class of incremental learning procedures specialized for prediction – that is, for using past experience with an incompletely known system to predict its future behavior – and proves their convergence and optimality for special cases and relation to supervised-learning methods.
Journal ArticleDOI
Neuronlike adaptive elements that can solve difficult learning control problems
TL;DR: In this article, a system consisting of two neuron-like adaptive elements can solve a difficult learning control problem, where the task is to balance a pole that is hinged to a movable cart by applying forces to the cart base.