# TencentARC/Player-1

> An agentic post-training pipeline for general game control: SFT on 6,044 gameplay trajectories from 172 games, RL in 16 synthetic environments, and evaluation on MineDojo-300, ViZDoom-10 and GameWorld. Code, data and checkpoints are not released yet.

- Magnitude: 5.4 out of 10 — Early signal
- Stars: 89 total · +3 stars measured 2026-10-16, 00:05–01:30 UTC, ≈ 68 by evening
- Star trust: star growth looks organic
- Category: AI agents · License: MIT · Created: 2026-10-10 · Last push: 2026-10-14
- GitHub: https://github.com/TencentARC/Player-1 · Homepage: https://player-1-project.github.io/ · Page: https://gitnova.dev/en/r/TencentARC/Player-1

## Useful for

- Study the methodology for training computer-use models for games from the paper and project page

## Why it’s here

- Star-counter measurements on 2026-10-16 (UTC), 00:05–01:30: 86 → 89 stars (+3). This is the change over that interval.
- Estimated end-of-day forecast: about +68 stars, using observed gains and the previous day.
- The repository is 6 days old and already has 89 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #187.
- About 97 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 8
- Issues and pull requests: 1
- Watchers: 12
- Average over the last week: 22 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 2

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-10-10 … 2026-10-16: 1, 0, 0, 0, 16, 72, 3

## Spotted in now

- Top new repositories this week: #187

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   Full card: https://gitnova.dev/en/r/onehumanbeing/esp32-iphone-agent.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-16 01:42 UTC, updated every 30 minutes.