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Introduction: The challenge of reinforcement learning

JOURNAL ARTICLE published May 1992 in Machine Learning

Authors: Richard S. Sutton

JOURNAL ARTICLE published 1998 in Machine Learning

Authors: Robert H. Crites | Andrew G. Barto

Autonomous shaping

PROCEEDINGS ARTICLE published 2006 in Proceedings of the 23rd international conference on Machine learning - ICML '06

Authors: George Konidaris | Andrew Barto

REINFORCEMENT LEARNING AND DYNAMIC PROGRAMMING

BOOK CHAPTER published 1995 in Analysis, Design and Evaluation of Man–Machine Systems 1995

Authors: Andrew G. Barto

Using relative novelty to identify useful temporal abstractions in reinforcement learning

PROCEEDINGS ARTICLE published 2004 in Twenty-first international conference on Machine learning - ICML '04

Authors: Özgür Şimşek | Andrew G. Barto

Reinforcement learning with replacing eligibility traces

JOURNAL ARTICLE published 1996 in Machine Learning

Authors: Satinder P. Singh | Richard S. Sutton

Theoretical results on reinforcement learning with temporally abstract options

BOOK CHAPTER published 1998 in Machine Learning: ECML-98

Authors: Doina Precup | Richard S. Sutton | Satinder Singh

Introduction to Reinforcement Learning

BOOK CHAPTER published 11 October 2023 in Machine Learning, Animated

Authors: Mark Liu

Identifying useful subgoals in reinforcement learning by local graph partitioning

PROCEEDINGS ARTICLE published 2005 in Proceedings of the 22nd international conference on Machine learning - ICML '05

Authors: Özgür Şimşek | Alicia P. Wolfe | Andrew G. Barto

Reinforcement Learning

BOOK CHAPTER published 2015 in An Introduction to Machine Learning

Authors: Miroslav Kubat

Reinforcement Learning

BOOK CHAPTER published 2017 in An Introduction to Machine Learning

Authors: Miroslav Kubat

Reinforcement Learning

BOOK CHAPTER published 31 October 2021 in Machine Learning with Neural Networks

JOURNAL ARTICLE published 1996 in Machine Learning

Authors: Steven J. Bradtke | Andrew G. Barto

JOURNAL ARTICLE published 2002 in Machine Learning

Authors: Amy McGovern | Eliot Moss | Andrew G. Barto

Introduction to Reinforcement and Systemic Machine Learning

OTHER published 27 July 2012 in Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement Learning

BOOK CHAPTER published 29 December 2022 in A Hands-On Introduction to Machine Learning

Reinforcement Learning: From TD(0) to Deep-Q-Learning

BOOK CHAPTER published 2021 in An Introduction to Machine Learning

Authors: Miroslav Kubat

Reinforcement Learning Algorithms

BOOK CHAPTER published 2019 in An Introduction to Machine Learning

Authors: Gopinath Rebala | Ajay Ravi | Sanjay Churiwala

Reinforcement Learning: N-Armed Bandits and Episodes

BOOK CHAPTER published 2021 in An Introduction to Machine Learning

Authors: Miroslav Kubat

Linear Least-Squares algorithms for temporal difference learning

JOURNAL ARTICLE published 1996 in Machine Learning

Authors: Steven J. Bradtke | Andrew G. Barto