Заохочувальне навчання мультиагентних систем
The problem of reinforcement learning of multiagent systems in the game formulation is considered. The Markovian model of stochastic game is constructed, criteria of game learning are formulated, the Q-method and corresponding algorithm of the stochastic game solving are described, results of computer realization of a Q-method are analyzed.