by NKAI-Decision-Team · Agent Tool · ★ 151
Demos of LLM-Pysc2 with SMAC tasks LLM-PySC2 - LLM StarCraft II Learning Environment LLM-PySC2 is NKU Robot Autonomy and Human-AI Collaboration Group and NUDT Laboratory for Big Data and Decision's Python component of the StarCraft II LLM Decision Environment. It wraps Deepmind's PySC2 Learning Environment API in to a LLM energized Multi-Agent Decision Environment. This is a collaboration between NKU and NUDT to develop StarCraft II into a rich environment for LLM research.
| Stars | 151 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.1051833267247/100 |
| Open Issues | 7 |
| Last Updated | 2025-04-24 |
| Created | 2024-09-27 |
| Platforms | python |
| Est. Tokens | ~3334k |
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LLM-PySC2 is LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment. It is categorized as a Agent Tool with 151 GitHub stars.
LLM-PySC2 is primarily written in Python. It covers topics such as environment, llm, llm-agent.
You can find installation instructions and usage details in the LLM-PySC2 GitHub repository at github.com/NKAI-Decision-Team/LLM-PySC2. The project has 151 stars and 14 forks, indicating an active community.
LLM-PySC2 is released under the Apache-2.0 license, making it free to use and modify according to the license terms.