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  • Keywords: temporal difference learning x
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Decision-making

Edmund T. Rolls

in Memory, Attention, and Decision-Making: A Unifying Computational Neuroscience Approach

Published in print:
2007
Published Online:
September 2009
ISBN:
9780199232703
eISBN:
9780191724046
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199232703.003.0010
Subject:
Neuroscience, Behavioral Neuroscience

This chapter looks at selection of mainly autonomic responses and their classical conditioning. Selection of approach or withdrawal, and their classical conditioning are also mentioned. It then goes ... More


Neural Correlates of Hierarchical Reinforcement Learning

José J. F. Ribas-Fernandes, Yael Niv, and Matthew M. Botvinick

in Neural Basis of Motivational and Cognitive Control

Published in print:
2011
Published Online:
August 2013
ISBN:
9780262016438
eISBN:
9780262298490
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262016438.003.0016
Subject:
Neuroscience, Behavioral Neuroscience

This chapter discusses the relevance of reinforcement learning (RL) to its hierarchical structure. It first reviews the fundamentals of RL, with a focus on temporal-difference learning in ... More


Behavior is Reward-oriented

Martin V. Butz and Esther F. Kutter

in How the Mind Comes into Being: Introducing Cognitive Science from a Functional and Computational Perspective

Published in print:
2017
Published Online:
July 2017
ISBN:
9780198739692
eISBN:
9780191834462
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198739692.003.0005
Subject:
Psychology, Cognitive Models and Architectures, Cognitive Psychology

Delving further into development, adaptation, and learning, this chapter considers the potential of reward-oriented optimization of behavior. Reinforcement learning (RL) is motivated from the ... More


Learning as Design/Design of Learning

Peter Sterling

in Principles of Neural Design

Published in print:
2015
Published Online:
September 2016
ISBN:
9780262028707
eISBN:
9780262327312
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262028707.003.0014
Subject:
Neuroscience, Research and Theory

Learning belongs to a broad principle of biological design: adapt, match, learn, and forget. Organisms respond to changed demands by re-sculpting at all levels to prepare for what will most likely be ... More


Reinforcement learning

Thomas P. Trappenberg

in Fundamentals of Machine Learning

Published in print:
2019
Published Online:
January 2020
ISBN:
9780198828044
eISBN:
9780191883873
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198828044.003.0010
Subject:
Neuroscience, Behavioral Neuroscience

The discussion here considers a much more common learning condition where an agent, such as a human or a robot, has to learn to make decisions in the environment from simple feedback. Such feedback ... More


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