Algebraic results and bottom-up algorithm for policies generalization in reinforcement learning using concepts lattices

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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00378912
Contributor : Isabelle Gouat <>
Submitted on : Monday, April 27, 2009 - 12:07:26 PM
Last modification on : Thursday, May 24, 2018 - 3:59:23 PM

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Marc Ricordeau, Michel Liquière. Algebraic results and bottom-up algorithm for policies generalization in reinforcement learning using concepts lattices. ICHSA'06: International Conference on Hybrid Systems and Applications, Lafayette, LA, USA, pp.N/A. ⟨lirmm-00378912⟩

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