Geodesic
Applying reinforced learning for solving the problem of structuring the external environment
News of the Kabardin-Balkar scientific center of RAS, no. 6 (2020), pp. 14-19

Voir la notice de l'article provenant de la source Math-Net.Ru

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.
Keywords: multiagent neural network, multiagent system, robotic systems, collective behavior. 
@article{IZKAB_2020_6_a1,
     author = {M. I. Anchekov},
     title = {Applying reinforced learning for solving the problem of structuring the external environment},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {14--19},
     publisher = {mathdoc},
     number = {6},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2020_6_a1/}
}
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M. I. Anchekov. Applying reinforced learning for solving the problem of structuring the external environment. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2020), pp. 14-19. http://geodesic.mathdoc.fr/item/IZKAB_2020_6_a1/