Halo
From Liquipedia StarCraft Brood War Wiki
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HaloBot Information
Nationality:
Programmer:
Hao Pan
BWAPI Version:
4.4.0
Language:
C++
Wrapper:
No wrapper
Terrain Analysis:
BWEM-community
Framework:
Iron bot
Strategies:
Bunker Rush, BBS, 2 Fac pressure, 14 CC
Halo is a StarCraft AI, written by Hao Pan. It uses BWAPI as an API for interacting with Starcraft: Broodwar.
Based On[edit]
Halo is a fork of Iron Bot.
[edit]
AI Techniques[edit]
- Bayesian Bandit‡
- Continual Online Evolution Planning (COEP)
- Potential Field
- etc...
‡ See also: the author's paper published at the AAAI-20 Workshop on Reinforcement Learning in Games
Facts[edit]
- On SSCAIT, Halo is named "Hao Pan" playing as Terran and "Fresh Meat" playing as Zerg (currently disabled).
- Some consulting by Nathan Roth.
Strategies[edit]
Playing as Terran[edit]
Halo utilizes an array of strategies for each matchup, ranging from rush to macro ones. Notable ones include:
- Bunker Rush†
- BBS
- 2 Fac pressure
- 14 CC
† See also: Jay Scott's StarCraft AI blog post, Hao Pan's bunker rush
Playing as Zerg[edit]
Halo plays as Zerg under the name Fresh Meat. The initial development was based on Iron bot. However, it turned out that its crash rate was too high on BASIL (around 20%) which discouraged further development and resulted the author disabling it. Starting from 2019/05/30, a new Fresh Meat is enabled on SSCAIT and it is based on author's Zerg bot for AITT S2. It's quite simple at this time, as it only utilizes a few techniques such as Bayesian Bandit and COEP. Its performance on BASIL will be closely monitored and will serve for benchmark purposes.
Achievements[edit]
Note: all results of SSCAIT are standings/winrate after the round robin phase
| In Tournaments | ||||||
|---|---|---|---|---|---|---|
| Date | Place | Event | Race | Result | Category | |
| 2017/2018 | 71st | SSCAIT 2017/2018 |
|
Winrate: 12.34% | Mixed division | |
| 2018/2019 | 12th | SSCAIT 2018/2019 |
|
Winrate: 71.83% | Mixed division | |
| Feb/2019 | 3rd | AIST S2 |
|
0:2 Velocirandom | Combat History: WWLL | |
| 2019/2020 | 4th | SSCAIT 2019/2020 |
|
Winrate: 85.23% | Mixed division | |
| 2020/2021 | 5th | SSCAIT 2020/2021 |
|
Winrate: 82.73% | Mixed division | |