by NKAI-Decision-Team · Agent Tool · ★ 53
Hierarchical Expert Prompt for Large-Language-Models: An Approch Defeat Elite AI in TextStarCraft-II for the First Time 2024/6/16 Zongyuan Li, Chang Lu, et. al. College of Artificial Intelligence, Nankai University, Tianjing, China + Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China paper: Our paper is currently under review and is expected to be published soon. You can contact us by emailing 2120230524@mail.nankai.edu.cn or 734162621@qq.com.
| Stars | 53 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 60.2670350705873/100 |
| Open Issues | 3 |
| Last Updated | 2024-10-24 |
| Created | 2024-06-15 |
| Platforms | python |
| Est. Tokens | ~42k |
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HEP-LLM-play-StarCraftII is Hierarchical Expert Prompt for Large-Language-Models: An Approch Defeat Elite AI in TextStarCraft-II for the First Time. It is categorized as a Agent Tool with 53 GitHub stars.
HEP-LLM-play-StarCraftII is primarily written in Python. It covers topics such as llm, llm-agent, starcraft2.
You can find installation instructions and usage details in the HEP-LLM-play-StarCraftII GitHub repository at github.com/NKAI-Decision-Team/HEP-LLM-play-StarCraftII. The project has 53 stars and 2 forks, indicating an active community.
HEP-LLM-play-StarCraftII is released under the Apache-2.0 license, making it free to use and modify according to the license terms.