Micromanagement in StarCraft Game AI: a case study

Among Game AI, in macromanegement level, applying of deep learning algorithms like reinforcement learning has been proven to be useful. In this paper, we researched the development of Game AI and chose Starcraft II as our testing game. We compare various deep learning algorithms to normal algorithms...

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Bibliographic Details
Published inProcedia computer science Vol. 174; pp. 518 - 523
Main Authors Lu, Mingjian, Chen, Qiaoqi, Chen, Yujing, Sun, Weijia
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2020
Subjects
Deep Learning
Game AI
Micromanagement
Reinforcement Learning
Game AI
Reinforcement Learning
Micromanagement
Deep Learning
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Summary:Among Game AI, in macromanegement level, applying of deep learning algorithms like reinforcement learning has been proven to be useful. In this paper, we researched the development of Game AI and chose Starcraft II as our testing game. We compare various deep learning algorithms to normal algorithms like boids algorithms, potential field pathfinding etc., in the micromanegment level, to see their difference in run-time performance, training time and CPU utilization level.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2020.06.119