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Reinforcement learning in the real world

PROCEEDINGS ARTICLE published in 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

Authors: A.G. Barto

Reinforcement learning with supervision by a stable controller

PROCEEDINGS ARTICLE published 2004 in Proceedings of the 2004 American Control Conference

Authors: M.T. Rosenstein | A.G. Barto

Reinforcement Learning

BOOK published 1992

Editors: Richard S. Sutton

Reinforcement Learning with Replacing Eligibility Traces

BOOK CHAPTER published in Recent Advances in Reinforcement Learning

Authors: Satinder P. Singh | Richard S. Sutton

REINFORCEMENT LEARNING AND DYNAMIC PROGRAMMING

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

Authors: Andrew G. Barto

(1983) Andrew G. Barto, Richard S. Sutton, and Charles W. Anderson, "Neuronlike adaptive elements that can solve difficult learning control problems," IEEE Transactions on Systems, Man, and Cybernetics SMC-13: 834-846

BOOK CHAPTER published 7 April 1988 in Neurocomputing, Volume 1

Authors: Andrew G. Barto | Richard S. Sutton | Charles W. Anderson

Reinforcement Learning and Dynamic Programming

JOURNAL ARTICLE published June 1995 in IFAC Proceedings Volumes

Authors: Andrew G. Barto

Shaping as a method for accelerating reinforcement learning

PROCEEDINGS ARTICLE published in Proceedings of the 1992 IEEE International Symposium on Intelligent Control

Authors: V. Gullapalli | A.G. Barto

Reinforcement Learning: Connections, Surprises, Challenges

JOURNAL ARTICLE published March 2019 in AI Magazine

Authors: Andrew G. Barto

Reinforcement learning control

JOURNAL ARTICLE published December 1994 in Current Opinion in Neurobiology

Authors: Andrew G. Barto

JOURNAL ARTICLE published 1998 in Machine Learning

Authors: Robert H. Crites | 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

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

Landmark learning: An illustration of associative search

JOURNAL ARTICLE published November 1981 in Biological Cybernetics

Authors: Andrew G. Barto | Richard S. Sutton

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

Enriching behavioral ecology with reinforcement learning methods

JOURNAL ARTICLE published April 2019 in Behavioural Processes

Research funded by Netherlands Organization for Scientific Research (016.155.195) | Robert Wood Johnson Foundation (73657) | James S. McDonnell Foundation (220020502) | Jacobs Foundation (2017 1261 02)

Authors: Willem E. Frankenhuis | Karthik Panchanathan | Andrew G. Barto

Evolution of reward functions for reinforcement learning

PROCEEDINGS ARTICLE published 12 July 2011 in Proceedings of the 13th annual conference companion on Genetic and evolutionary computation

Authors: Scott Niekum | Lee Spector | Andrew Barto

Model Minimization in Hierarchical Reinforcement Learning

BOOK CHAPTER published 2002 in Lecture Notes in Computer Science

Authors: Balaraman Ravindran | Andrew G. Barto

Hierarchically organised behaviour and its neural foundations: a reinforcement-learning perspective

BOOK CHAPTER published 10 November 2011 in Modelling Natural Action Selection

Authors: Matthew M. Botvinick | Yael Niv | Andrew G. Barto

Lernen mit Multi-Agent Reinforcement Learning

BOOK CHAPTER published 12 October 2020 in Einstieg in Deep Reinforcement Learning

Authors: Alexander Zai | Brandon Brown