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THUSI-Lab/GameScaling

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

#AI agent
Visit GitHub
Python
351
13
2 contributors
Apache License 2.0
website
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Momentum

How fast THUSI-Lab/GameScaling is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 21 – Oct 24, 2026

Stars +171 in 4 days

050100
97

Forks +13 in 4 days

0510
7

Merged PRs 0 in 4 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 21Oct 22Oct 23Oct 24
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+22+50
Fri, Oct 23, 2026+97+70
Sat, Oct 24, 2026+52+10
Total+171+130
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 241 post

    • GameScaling开放游戏智能体：从看画面到操作环境。 米哈游崩坏AI团队等合作，论文10/20提交，提供0.8B—27B八个检查点及推理代码。 模型根据画面及历史，输出约200毫秒键鼠动作；未提供训练代码。 建议看：陌生环境泛化｜延迟｜失败恢复。演示不能当通用玩家能力；我尚未实测。

      Read full on X, posted by @GnanHen

      @GnanHen · x.com

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