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
Input generalization in delayed reinforcement learning: an algorithm and performance comparisons
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
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.