Title: Relational reinforcement learning
Authors: Driessens, Kurt
Issue Date: 2001
Publisher: Springer-Verlag
Host Document: Multi-Agent Systems and Applications pages:271-280
Abstract: 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.
ISBN: 978-3-540-42312-6
Publication status: published
KU Leuven publication type: IHb
Appears in Collections:Informatics Section

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