Reinforcement Learning: An Introduction

Richard S. Sutton; Andrew G. Barto · IEEE Transactions on Neural Networks · 2005

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Richard S. Sutton; Andrew G. Barto

Publisher

IEEE Transactions on Neural Networks

Year

2005

Language

English

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An account of key ideas and algorithms in reinforcement learning. The discussion ranges from the history of the field's intellectual foundations to recent developments and applications. Areas studied include reinforcement learning problems in terms of Markov decision problems and solution methods.

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APA 7

Sutton, R. S. & Barto, A. G. (2005). Reinforcement Learning: An Introduction. https://doi.org/10.1109/tnn.2004.842673

MLA

Sutton, Richard S, and Andrew G. Barto. "Reinforcement Learning: An Introduction." 2005. https://doi.org/10.1109/tnn.2004.842673.

Chicago

Sutton, Richard S. and Andrew G. Barto. 2005. "Reinforcement Learning: An Introduction.". https://doi.org/10.1109/tnn.2004.842673.

Harvard

Sutton, R. S. and Barto, A. G. 2005, Reinforcement Learning: An Introduction, IEEE Transactions on Neural Networks, available at: https://doi.org/10.1109/tnn.2004.842673 [Accessed 7 Aug. 2026].

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Title: Reinforcement Learning: An Introduction

Author / contributors: Richard S. Sutton; Andrew G. Barto

Publisher: IEEE Transactions on Neural Networks

Publication year: 2005

Language: English

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Reinforcement learning; Computer science; Artificial intelligence; Reinforcement; Machine learning; Engineering; Structural engineering