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(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.

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BetaStar

BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. Though It contains some machine learning modules, its main strength comes from heuristic rules and human knowledge.

  • It achieves the 9th in the CoG 2019 tournament (formerly CIG).
  • It achieves the 5th in the SSCAIT ladder (2019-09-07), shown as below:

SSCAIT

Facts

BetaStar is based on CSE(AIIDE 2018), improving the codes and strategies against all three races, and using a new machine learning module.

Strategies

  • It exploits Carriers and Shuttles against the mechanized force of Terran.
  • It utilizes High Templars against the biochemistry force of Terran.
  • It improves Dark Templars against Protoss.
  • It perfects Dragoons and Zealots against Zerg.

Architectures

  • It uses Eigen as a computing library and MiniDNN as a machine learning library.
  • It provides all training codes(in C++) and data processing code(in Python).

Starcraft/BWAPI-related 3rd-party Libraries Used

  • BWEM
  • BWEB

Team members

Ruo-Ze Liu, Yuntao Ma, Haifeng Guo, Yuzhou Wu, Yuanhao Zheng, Zitai Xiao, Yang Yu, Tong Lu.

About

(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.

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