POMDP problēmu risināšana, izmantojot vēsturiskus elementus, un tās optimizācija

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RESEARCH PRODUCT

POMDP problēmu risināšana, izmantojot vēsturiskus elementus, un tās optimizācija

subject

Datorzinātne stimulētā mācīšanās Sequence Q-Learning mašīnmācīšanās POMDP

description

Elvja Egles Bakalaura darba „POMDP problēmu risināšana, izmantojot vēsturiskus elementus, un tās optimizācija” ietvaros tika izpētīti daļēji novērojami Markova lēmuma procesu (POMDP) algoritmi. Balstoties uz Jāņa Zutera zinātniski pētniecisko raksta saturu „Sequence Q-Learning: a Memory-based Method Towards Solving POMDP”, kurā ir aprakstīta POMDP risināšanas ideja, tika izstrādāts līdzvērtīgs mašīnmācīšanās algoritms, saskaņā ar rakstā sniegto informāciju. Bakalaura darba ietvaros tika pētīta šī Algoritma efektivitāte, kā arī apskatītas un piedāvātas vairākas iespējas tā tālākai pilnveidei. Programmētais darbs tika pievērsts konkrētai problēmai, kurai bija novērojama labāka ātrdarbība ar nelieliem uzlabojumiem algoritma kvalitātē dažās situācijās.

year	journal	country	edition	language
2017-01-01

https://dspace.lu.lv/dspace/handle/7/36298

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