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- W2189156949 abstract "situation(called an event) isobserved, aremodified throughthe algorithm. Thesubjective probability fortheoptimal action isproved toapproach onewithprobability oneforanyobserved event. Theoptimized performance index istheconditional expectation oftheinstantaneous performance evaluations withrespect totheobserved evenlts andtheallowable actions. Thealgorithm isdescribed through two tIiansformations, T,andTB.After theordering transformation T1is applied ontheestimates oftheperAormance indexes oftheallowable actions, thelearning transformation TBmodifies thesubjective probabilities. Thecases ofdiscrete andcontinuous features areconsidered.Inthelatter, thePotential Function Methodisemployed. The algorithm iscompared withalinear reinforcement schenme andcomputer simulation results arepresented." @default.
- W2189156949 created "2016-06-24" @default.
- W2189156949 creator A5063993364 @default.
- W2189156949 date "1986-01-01" @default.
- W2189156949 modified "2023-09-26" @default.
- W2189156949 title "AnAlgorithm forLearningWithoutExternal Supervisionand ItsApplicationto" @default.
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- W2189156949 hasPublicationYear "1986" @default.
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