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Resampling methods Learning automata Reward probability set 010,045084,070.20,04060,0:0,0.50,0309 xinhu Input 0} Environment Estimator de(0=w( z0) 010,0.45,0.79082,0.20,0.4.060,070,05.030} Learning Chosen probabilit Strategy 1001005000102000 Automaton Output: a4 [1]K S Narendra and M A L. Thathachar " Learning automata-A survey, "IEEE Trans. SMc -B, 1974 [2]M A L Thathachar and K R Ramakrishnan, Hierarchical system of learning automata",IEEE Trans. SMC-B, 1981 3]奥如静,何成武,华东计算技术研究所,”学习自动机概述,自动化学报1984 4]KS Narendra and M A L. Thathachar, Learning Automata: An Introduction". Englewood Cliffs, NJ: Prentice -Hall, 1989 [5]K Najim and A S Poznyak, Learning Automata: Theory and Applications", New York: Pergamon, 1994 [6]Anastasios A Economides Multiple response learning automata", IEEE Trans. SMc-B, 1996 [7]M. A L Thathachar and P S Sastry, Varieties of Learning Automata: An Overview. IEEE Trans. SMc-B, 2002 [8]Mohammad S Obaidat, Georgios L Papadimitriou and andreas S. Pomportsis, Guest editorial-Learning automata: Theory, paradigms, and applications. IEEE Trans, SMC-B, 2002Resampling Methods￾Learning Automata Environment Automaton Reward Probability Set {0.10, 0.45, 0.84, 0.76, 0.20 ,0.40, 0.60, 0.70, 0.50, 0.30} Input: {0} Estimator: de(i)=w(i)/z(i) {0.10, 0.45, 0.79, 0.82, 0.20 ,0.40, 0.60, 0.70, 0.50, 0.30} Chosen Probability {0.00, 0.10, 0.20, 0.50, 0.00, 0.00, 0.10, 0.20, 0.00, 0.00} Output: α4 [1] K. S. Narendra and M. A. L. Thathachar, “Learning automata—A survey,” IEEE Trans . SMC-B ,1974 [2] M. A. L. Thathachar and K.R.Ramakrishnan, “Hierarchical system of learning automata”,IEEE Trans . SMC-B ,1981 [3]窦如静,何成武,华东计算技术研究所 , “学习自动机概述”,自动化学报,1984 [4] K. S. Narendra and M. A. L. Thathachar, “Learning Automata:An Introduction”. Englewood Cliffs,NJ:Prentice-Hall, 1989 [5] K. Najim and A. S. Poznyak, “Learning Automata: Theory and Applications”, New York: Pergamon, 1994 [6] Anastasios A. Economides, ”Multiple response learning automata”, IEEE Trans . SMC-B ,1996 [7] M. A. L. Thathachar and P. S. Sastry,”Varieties of Learning Automata: An Overview”. IEEE Trans . SMC-B ,2002 [8] Mohammad S. Obaidat, Georgios I. Papadimitriou and Andreas S. Pomportsis,”Guest editorial-Learning automata: Theory, paradigms, and applications”. IEEE Trans . SMC-B ,2002 ?
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