Semi-Markov decision-making processes with vector gains
Teoriâ veroâtnostej i ee primeneniâ, Tome 28 (1983) no. 1, pp. 182-184
The main problem in the theory of semi-Markov decision-making processes is the development of methods which give the optimal strategy if such a strategy exists. The paper discusses those semi-Markov decision-making processes in which the structure of gains is a vector one and solve the vector analog of the basic scalar problem. Geometric conditions leading to the optimal strategy in the explicit form are given.
@article{TVP_1983_28_1_a15,
author = {{\CYRT}. {\CYRM}. Vinogradskaja and {\CYRV}. A. Geninson and A. A. Rub\v{c}inskiǐ},
title = {Semi-Markov decision-making processes with vector gains},
journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
pages = {182--184},
year = {1983},
volume = {28},
number = {1},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/TVP_1983_28_1_a15/}
}
TY - JOUR AU - Т. М. Vinogradskaja AU - В. A. Geninson AU - A. A. Rubčinskiǐ TI - Semi-Markov decision-making processes with vector gains JO - Teoriâ veroâtnostej i ee primeneniâ PY - 1983 SP - 182 EP - 184 VL - 28 IS - 1 UR - http://geodesic.mathdoc.fr/item/TVP_1983_28_1_a15/ LA - ru ID - TVP_1983_28_1_a15 ER -
Т. М. Vinogradskaja; В. A. Geninson; A. A. Rubčinskiǐ. Semi-Markov decision-making processes with vector gains. Teoriâ veroâtnostej i ee primeneniâ, Tome 28 (1983) no. 1, pp. 182-184. http://geodesic.mathdoc.fr/item/TVP_1983_28_1_a15/