# THUSI-Lab/GameScaling

<https://repo.masters-masters.com/en/repos/THUSI-Lab/GameScaling>

[Home](https://repo.masters-masters.com/en) › [THUSI-Lab](https://repo.masters-masters.com/en/owners/THUSI-Lab) › [GameScaling](https://repo.masters-masters.com/en/repos/THUSI-Lab/GameScaling)

THUSI-Lab/GameScaling has 460 stars on GitHub. Its RepoMasters card: Alpha tier. Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse…

| Field | Value |
| --- | --- |
| Owner | [THUSI-Lab](https://repo.masters-masters.com/en/owners/THUSI-Lab) |
| Stars | 460 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | embodied-agent, game-agent, game-ai, mihoyo, scaling-laws, tsinghua, vlm |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [THUSI-Lab/GameScaling](https://github.com/THUSI-Lab/GameScaling) |

## Repository

Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds. Weights on Hugging Face.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by THUSI-Lab

- [THUSI-Lab/Hstar · ★ 150 · Python · Prototype](https://repo.masters-masters.com/en/repos/THUSI-Lab/Hstar)

## Nearby in Python

- [sisig-ai/doctor · ★ 460 · Python · Alpha](https://repo.masters-masters.com/en/repos/sisig-ai/doctor)
- [AsyncFuncAI/AsyncReview · ★ 460 · Python · Alpha](https://repo.masters-masters.com/en/repos/AsyncFuncAI/AsyncReview)
- [browser-use/bux · ★ 460 · Python · Alpha](https://repo.masters-masters.com/en/repos/browser-use/bux)
- [facelessuser/HexViewer · ★ 460 · Python · Alpha](https://repo.masters-masters.com/en/repos/facelessuser/HexViewer)
- [geeknam/python-gcm · ★ 460 · Python · Alpha](https://repo.masters-masters.com/en/repos/geeknam/python-gcm)
- [kadirpekel/hammock · ★ 460 · Python · Alpha](https://repo.masters-masters.com/en/repos/kadirpekel/hammock)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.