Recursive learning automata approach to Markov decision processes
- Author
- HYEONG SOO CHANG1 ; FU, Michael C2 ; JIAQIAO HU3 ; MARCUS, Steven I4
[1] Department of Computer Science and Engineering, Sogang University, Seoul 121-742, Korea, Republic of
[2] Robert H. Smith School of Business and the Institute for Systems Research, the University of Maryland, College Park, MD 20742, United States
[3] Department of Applied Mathematics and Statistics, State University of New York (SUNY), Stony Brook, NY 11794-3600, United States
[4] Department of Electrical and Computer Engineering and the Institute for Systems Research, the University of Maryland, College Park, MD 20742, United States - Source
IEEE transactions on automatic control. 2007, Vol 52, Num 7, pp 1349-1355, 7 p ; ref : 18 ref
- CODEN
- IETAA9
- ISSN
- 0018-9286
- Scientific domain
- Control theory, operational research
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Learning automata Markov decision process (MDP) sampling
- Keyword (fr)
- Algorithme apprentissage Algorithme récursif Analyse algorithme Approche probabiliste Automate Borne inférieure Borne supérieure Décision Markov Echantillonnage Estimation erreur Horizon fini Méthode récursive Processus Markov Programmation stochastique Programme commande
- Keyword (en)
- Learning algorithm Recursive algorithm Algorithm analysis Probabilistic approach Automaton Lower bound Upper bound Markov decision Sampling Error estimation Finite horizon Recursive method Markov process Stochastic programming Control program
- Keyword (es)
- Algoritmo aprendizaje Algoritmo recursivo Análisis algoritmo Enfoque probabilista Autómata Cota inferior Cota superior Decisión Markov Muestreo Estimación error Horizonte finito Método recursivo Proceso Markov Programación estocástica Programa mando
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18931067
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TAC.2007.900859 
https://dx.doi.org/10.1109/TAC.2007.900859
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