Reinforcement learning to provide feedback and support

Mark Hoogendoorn*, Burkhardt Funk

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review


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 languageEnglish
Title of host publicationMachine Learning for the Quantified Self
Subtitle of host publicationOn the Art of Learning from Sensory Data
Number of pages12
ISBN (Electronic)9783319663081
ISBN (Print)9783319663074
Publication statusPublished - 1 Jan 2018

Publication series

NameCognitive Systems Monographs
ISSN (Print)1867-4925
ISSN (Electronic)1867-4933


Dive into the research topics of 'Reinforcement learning to provide feedback and support'. Together they form a unique fingerprint.

Cite this