Pregled bibliografske jedinice broj: 1222008
Bayesian statistics approach to chess engines optimization
Bayesian statistics approach to chess engines optimization // Acta mathematica Spalatensia, 2 (2022), 69-82 doi:10.32817/ams.2.5 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1222008 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Bayesian statistics approach to chess engines
optimization
Autori
Ivec, Ivan ; Vojnović, Ivana
Izvornik
Acta mathematica Spalatensia (2757-1688) 2
(2022);
69-82
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Bayesian statistics ; stochastic optimization ; chess engines
Sažetak
We develop a new method for stochastic optimization using the Bayesian statistics approach. More precisely, we optimize parameters of chess engines as those data are available to us, but the method should apply to all situations where we want to optimize a certain gain/loss function which has no analytical form and thus cannot be measured directly but only by comparison of two parameter sets. We also experimentally compare the new method with the famous SPSA method.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-2449 - Mikrolokalni defektni alati u parcijalnim diferencijalnim jednadžbama (MiTPDE) (Antonić, Nenad, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Metalurški fakultet, Sisak
Profili:
Ivan Ivec
(autor)
