Relational reinforcement learning

K Driessens*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic


This paper presents an introduction to reinforcement learning and relational reinforcement learning at a level to be understood by students and researchers with different backgrounds.It gives an overview of the fundamental principles and techniques of reinforcement learning without involving a rigorous deduction of the mathematics involved through the use of an example application.Then, relational reinforcement learning is presented as a combination of reinforcement learning with relational learning. Its advantages - such as the possibility of using structural representations, making abstraction from specific goals pursued and exploiting the results of previous learning phases - are discussed.
Original languageEnglish
Title of host publicationMulti-Agent Systems and Applications
Subtitle of host publication9th ECCAI Advanced Course, ACAI 2001 and Agent Link’s 3rd European Agent Systems Summer School, EASSS 2001 Prague, Czech Republic, July 2–13, 2001 Selected Tutorial Papers
ISBN (Electronic)978-3-540-47745-7
ISBN (Print)978-3-540-42312-6
Publication statusPublished - 2001
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science


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