Adapted Pittsburgh classifier system: building accurate strategies in non markovian environments


This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments containing aliasing squares. This type of environment is often used in reinforcement learning litterature to assess the performances of learning methods when facing problems containing… (More)
DOI: 10.1145/1388969.1389013


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