Reinforcement learning to provide feedback and support

Mark Hoogendoorn; Burkhardt Funk

doi:10.1007/978-3-319-66308-1_9

Reinforcement learning to provide feedback and support

Mark Hoogendoorn^*, Burkhardt Funk

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

Abstract

This chapter discusses reinforcement learning, a technique that can be used to learn when to provide what kind of feedback or intervention to a user to better accomplish the set goals. The techniques discussed are SARSA and Q-learning. In addition, approaches to allow reinforcement learning to cope with detailed sensor information such as discretization procedures are discussed.

Original language	English
Title of host publication	Machine Learning for the Quantified Self
Subtitle of host publication	On the Art of Learning from Sensory Data
Publisher	Springer/Verlag
Pages	203-214
Number of pages	12
ISBN (Electronic)	9783319663081
ISBN (Print)	9783319663074
DOIs	https://doi.org/10.1007/978-3-319-66308-1_9
Publication status	Published - 1 Jan 2018

Publication series

Name	Cognitive Systems Monographs
Volume	35
ISSN (Print)	1867-4925
ISSN (Electronic)	1867-4933

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Reinforcement learning to provide feedback and support

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