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Zlepšování systému pro automatické hraní hry Starcraft II v prostředí PySC2 / Improving Bots Playing Starcraft II Game in PySC2 Environment

The aim of this thesis is to create an automated system for playing a real-time strategy game Starcraft II. Learning from replays via supervised learning and reinforcement learning techniques are used for improving bot's behavior. The proposed system should be capable of playing the whole game utilizing PySC2 framework for machine learning. Performance of the bot is evaluated against the built-in scripted AI in the game.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:385883
Date January 2018
CreatorsKrušina, Jan
ContributorsŠkoda, Petr, Smrž, Pavel
PublisherVysoké učení technické v Brně. Fakulta informačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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