Reinforcement learning for sequential games

Student: Semin Aleksandr

Supervisor: Mikhail Vladimirovich Batsyn

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Data Mining (Master)

Year of Graduation: 2018

In the modern world, it is often a matter when participants have different interests and have different ways to achieve their goals. Such situations are the subject of discussion of game theory. Game theory plays a leading role in the theory of branch organization, contracts, corporate finance and many other areas. Consecutive games allow you to simulate many economic situations, where companies, organizations, firms, etc. act as players. In addition, the field of application is not limited only to economic disciplines, since use is possible in biology, political science, military science and others.

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