@inbook{07b064238abf4fad8cb5cc910107326c,
title = "Relational reinforcement learning",
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.",
author = "K Driessens",
year = "2001",
doi = "10.1007/3-540-47745-4_12",
language = "English",
isbn = "978-3-540-42312-6",
volume = "2086",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "271--280",
booktitle = "Multi-Agent Systems and Applications",
address = "United States",
}