Original title: Řízení boje ve hře Starcraft II pomocí umělé inteligence
Translated title: Combat Management in Starcraft II Game by Means of Artificial Intelligence
Authors: Krajíček, Karel ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
Document type: Bachelor's theses
Year: 2018
Language: cze
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [cze] [eng]
Táto práca sa zaoberá využitím umelej inteligencie a návrh funkčného modulu pre strategickú hru StarCraft II. Riešenie využíva neurónové siete a Q-learning pre boj. Pre implementáciu systému a jej prepojenie s hrou StarCraft používam StarCraft 2 Learning Environment. Vyhodnotenie systému je založené na jej schopnosti vykonať pokrok. This thesis focuses on the use of Artificial Intelligence and design of working module in Real-Time Strategy (RTS) game, StarCraft II.  The proposed solution uses Neural Network and Q-learning for combat management. For implementation, the StarCraft 2 Learning Environment has been used as a means of communication between the designed system and the game. Evaluation of the system is based on its ability to make progress over time.
Keywords: artificial intelligence; artificial neural network; machine learning; PySC2; Q-learning; Real-Time Strategy games; SC2LE; StarCraft II; PySC2; Q-learning; SC2LE; StarCraft II; strategické hry v reálném čase; strojové učení; Umělá inteligence; umělá neuronová síť

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/85233

Permalink: http://www.nusl.cz/ntk/nusl-386250


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Bachelor's theses