Semi-Markov decision-making processes with vector gains

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.