RUS  ENG
Full version
JOURNALS // Matematicheskoe modelirovanie

Mat. Model., 2022, Volume 34, Number 12, Pages 103–115 (Mi mm4428)

Reinforcement machine learning model for sports infrastructure development planning
V. A. Sudakov, I. A. Belozerov, E. S. Prudkova

References

1. A. V. Lotov, I. I. Pospelova, Mnogokriterialnye zadachi priniatiia reshenii, MAKS Press, M., 2008, 197 pp.
2. A. V. Dutov, V. A. Nesterov, V. A. Sudakov, K. I. Sypalo, “Fuzzy Preference Domains and Their Use for Selecting an Electronic Flight Bag for Flight Crews”, Journal of Computer and Systems Sciences International, 57:2 (2018), 230–238  crossref  zmath
3. G. N. Levchenko, O. S. Zaitsev, N. A. Isakov, V. A. Cherepanov, A. V. Garcev, “Osobennosti specifiki formirovaniia dostupnosti uslug massovogo sporta”, Aktualnye issledovaniia, 2020, no. 15 (18), 85–91  mathscinet
4. R. V. Fajzullin, T. N. Ivanova, “Metodika rascheta socia'no-ekonomicheskoi effektivnosti sportivnykh obieektov”, Problemy ekonomiki i menedzhmenta, 2015, no. 11 (51), 83–88
5. J. Bosch, C. Murillo, J. M. Raya, “The Economic Importance of the Sports Sector and the Economic Impact of Sporting Events”, Sports (and) Economics. Spain: Funcas, 2019, no. 28, 425–446
6. E. Jelescovic, M. Talovic, I. Rado, I. Mahmutovic, H. Alic, A. Masala, S. Ormanovic, A. Ciric, D. Dedovic, K. Dizdarevic, “Analysis of organizational structure and financial aspects of successful European clubs”, Sport science: International scientific journal of kinesiology, 9:1 (2016), 41–45
7. R. R. Zaripova, M. R. Sihimbaev, “Otsenka obieekta nedvizhimosti putem ucheta socialnoi effektivnosti ego raboty (na primere sportivnogo sooruzheniia)”, Mezhdunarodnyi studentcheskii nauchnyi vestnik, 2017, no. 5
8. T. R. Solomahina, E. A. Bobrovskij, “Ocenka vliianiia obespechennosti sportivnoi infrastruktury na vozmozhnosti naseleniia zanimatsia sportom”, Mezhdunarodnyi zhurnal prikladnykh i fundamentalnykh issledovanii, 2017, no. 3, 133–137
9. E. R. Akhmetshina, O. A. Ignatjeva, I. M. Ablaev, “Tendencies and Prospects of Public-Private Partnership Development in the Field of Physical Culture and Sport”, European Research Studies Journal, XX:2A (2017), 422–430  crossref  elib
10. M. Gordienko, K. Ekimova, N. Glubokova, E. Shuvalova, “Fiscal and investment indicators for evaluating professional sports facilities”, SHS Web of Conf., 89 (2020), 04002  crossref
11. O. V. Mkrtychev, V. B. Dorozhinskij, “Analiz konstruktivnykh reshenij i rezultatov raschetov konstrukcii sportivnykh sooruzhenii”, Stroitelstvo, nauka i obrazovanie, 8:2 (2018), 16–27
12. G. N. Levchenko, O. S. Zajcev, A. V. Garcev, “Algoritm realizatsii finansirovaniia proektov v sfere sporta”, Aktualnye issledovaniia, 2020, no. 15 (18), 97–101  mathscinet
13. N. K. Zavriev, I. G. Pospelov, L.Ya. Pospelova, “Issledovanie matematicheskikh modelei ekonomiki sredstvami sistemy EKOMOD”, Matem. modelirovanie, 15:8 (2003), 57–74  mathnet  zmath
14. B. N. Chetverushkin, V. A. Sudakov, “Factor Modeling for Innovative Enterprises”, Math. Models & Comput Simul., 12 (2020), 907–914  mathnet  crossref  mathscinet  zmath
15. H. Dai, E. B. Khalil, Y. Zhang, B. Dilkina, L. Song, “Learning combinatorial optimization algorithms over graphs”, Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS'17, Curran Associates Inc., Red Hook, NY, USA, 2017, 6351–6361
16. J. Schulman, F. Wolski, P. Dhariwal, A. Radford, O. Klimov, Proximal policy optimization algorithms, 2017, arXiv: 1707.06347  crossref


© Steklov Math. Inst. of RAS, 2026