BetaStar

StarCraft AI Bot Profile
SSCAIT Description:Our bot is based on CSE, improving the code and strategy against all three races, and using a new machine learning module.
Bot type:AI_MODULE
ELO rating:2538
ICCUP formula:
SSCAIT rank:
Wins:1821
Losses:441
Draws:1132
Total Win Rate: 0.5365350618739
Achievements:vs Zerg 500. vs Protoss 500. vs Terran 200. vs Zerg 200. vs Protoss 200. Let's Rock. vs Terran 50. Godlike. vs Zerg 50. vs Protoss 50. Winning Streak 10. Piece of Cake. Cheese!. Winning Streak 5. Winning Streak 3. Equal opportunity ass kicker. Veteran. Experienced.
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[e][h]Protoss BetaStar
Bot Information
Nationality:
Race:
Programmer:
Ruo-Ze Liu, Yuntao Ma, Haifeng Guo, Yuzhou Wu, Yuanhao Zheng, Zitai Xiao, Yang Yu, Tong Lu
Affiliation:
Nanjing University
Bot Version:
1.0
BWAPI Version:
4.1.2
Language:
C++
Terrain Analysis:
BWTA2,BWEM
AI Techniques:
Neural Networks
Framework:
CSE(AIIDE 2018)

BetaStar is a StarCraft AI, written by a team at Nanjing University. The main programmer is Ruo-Ze Liu.

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 to against mechanized force of Terran.
  • It utilizes high templars to against biochemistry force of Terran.
  • It improves dark templars to against Protoss.
  • It perfects dragoons and zealots to against Zerg.

Architectures

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

Starcraft/BWAPI-related 3rd-party Libraries Used

Team memebers

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

Monthy win rate of BetaStar over last 3 years compared to 4 bots with best ELO.
Months when bots played less than 30 games are not displayed.
Win rate of BetaStar against all the opponents with at least 50 mutual games.
Last updated:2019-09-07 15:13:26
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