Pittsburgh learning classifier systems for explainable reinforcement learning

Author:

Bishop Jordan T.1,Gallagher Marcus1,Browne Will N.2

Affiliation:

1. The University of Queensland, Australia

2. Queensland University of Technology, Australia

Publisher

ACM

Reference27 articles.

1. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

2. Jaume Bacardit and Martin V . Butz . 2007 . Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. In Learning Classifier Systems, Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson (Eds.). Vol. 4399 . Springer Berlin Heidelberg , 282--290. Jaume Bacardit and Martin V. Butz. 2007. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. In Learning Classifier Systems, Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson (Eds.). Vol. 4399. Springer Berlin Heidelberg, 282--290.

3. Jaume Bacardit and Josep Maria Garrell . 2007. Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System . In Learning Classifier Systems (Lecture Notes in Computer Science), Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W . Wilson (Eds.). Springer , Berlin, Heidelberg , 59--79. Jaume Bacardit and Josep Maria Garrell. 2007. Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System. In Learning Classifier Systems (Lecture Notes in Computer Science), Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson (Eds.). Springer, Berlin, Heidelberg, 59--79.

4. Automated alphabet reduction method with evolutionary algorithms for protein structure prediction

5. The stability of long action chains in XCS;Barry A. M.;Soft Computing - A Fusion of Foundations, Methodologies and Applications,2002

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modern Applications of Evolutionary Rule-based Machine Learning;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

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