Temporal difference learning and TD-Gammon
Communications of the ACM
Elements of machine learning
Top-down induction of first-order logical decision trees
Artificial Intelligence
Relational reinforcement learning
Machine Learning - Special issue on inducive logic programming
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Machine Learning
Top-Down Induction of Clustering Trees
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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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.