Applying reinforced learning for solving the problem of structuring the external environment

The paper is concerned with the problem of structuring the external environment. The proposed approach is based on a reinforcement learning method that trains a multi-agent neural network. A feature of the approach is that the structuring of environment is carried out by a team of robots that can interact with each other through messages. The formalized formulation of training problem is proposed.