Generalization and Transfer Learning with Qualitative Spatial Abstraction

Author:

Frommberger Lutz

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Baird, L.: Residual algorithms: Reinforcement learning with function approximation. In: Proceedingsof the Twelfth International Conference on Machine Learning (ICML), pp. 30–37. MorganKaufmann, San Francisco, CA (1995)

2. Frommberger, L.: A qualitative representation of structural spatial knowledge for robot navigationwith reinforcement learning. In: Proceedings of the ICMLWorkshop on Structural KnowledgeTransfer for Machine earning. Pittsburgh, PA, USA (2006)

3. Frommberger, L.: Generalization and transfer learning in noise-affected robot navigation tasks. In: Neves, J.M., Santos, M.F., Machado, J.M. (eds.) Progress in Artificial Intelligence: Proceedingsof EPIA 2007, Lecture Notes in Artificial Intelligence, vol. 4874, pp. 508–519. Springer-VerlagBerlin Heidelberg, Guimarães, Portugal (2007a)

4. Frommberger, L.: A generalizing spatial representation for robot navigation with reinforcementlearning. In: Proceedings of the Twentieth International Florida Artificial Intelligence ResearchSociety Conference (FLAIRS), pp. 586–591. AAAI Press, Key West, FL, USA (2007b)

5. Frommberger, L.: Learning to behave in space: A qualitative spatial representation for robot navigationwith reinforcement learning. International Journal on Artificial Isntelligence Tools 17(3), 465–482 (2008a)

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