Micromanagement in StarCraft Game AI: a case study
Mingjian Lu, Qiaoqi Chen, Yujing Chen, Weijia Sun · Procedia Computer Science · 2020
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.