RRepoGEO

REPOGEO REPORT · LITE

openai/Video-Pre-Training

Default branch main · commit 095519fb · scanned 5/15/2026, 5:37:10 PM

GitHub: 1,686 stars · 167 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface openai/Video-Pre-Training, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    video-pretraining, reinforcement-learning, imitation-learning, agent-training, minecraft-ai, unlabeled-data, deep-learning, computer-vision, openai
  • highreadme#2
    Add a concise introductory paragraph to the README

    Why:

    CURRENT
    # Video-Pre-Training
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

> :page_facing_up: Read Paper 
  :mega: Blog Post 
  :space_invader: MineRL Environment (note version 1.0+ required) 
  :checkered_flag: MineRL BASALT Competition
    COPY-PASTE FIX
    # Video-Pre-Training

This repository presents Video PreTraining (VPT), a groundbreaking method for training general-purpose AI agents to perform complex tasks by learning directly from large-scale, unlabeled human video demonstrations. Unlike traditional reinforcement learning or generic machine learning frameworks, VPT leverages vast amounts of observational data to pre-train agents, enabling robust behavioral priors in interactive environments like Minecraft.

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

> :page_facing_up: Read Paper 
  :mega: Blog Post 
  :space_invader: MineRL Environment (note version 1.0+ required) 
  :checkered_flag: MineRL BASALT Competition
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    [Insert the official project homepage URL here, e.g., a blog post or project page]

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface openai/Video-Pre-Training
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 2×
  2. pytorch/pytorch · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. keras-team/keras · recommended 1×
  5. opencv/opencv · recommended 1×
  • CATEGORY QUERY
    How can I train an AI agent to perform tasks using only unlabeled video demonstrations?
    you: not recommended
    AI recommended (in order):
    1. PyTorch (pytorch/pytorch)
    2. TensorFlow (tensorflow/tensorflow)
    3. Keras (keras-team/keras)
    4. OpenCV (opencv/opencv)
    5. Stable Baselines3 (DLR-RM/stable-baselines3)
    6. RLlib (ray-project/ray)
    7. Ray (ray-project/ray)
    8. PyTorchVideo (facebookresearch/pytorchvideo)
    9. Hugging Face Transformers (huggingface/transformers)
    10. MMAction2 (open-mmlab/mmaction2)
    11. d3rlpy (takuseno/d3rlpy)
    12. RL Unplugged (deepmind/rl_unplugged)
    13. MuJoCo (deepmind/mujoco)
    14. Isaac Gym
    15. PyBullet (bulletphysics/bullet3)
    16. Unity ML-Agents (Unity-Technologies/ml-agents)

    AI recommended 16 alternatives but never named openai/Video-Pre-Training. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help agents learn complex sequential actions from observed gameplay videos?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. Stable Baselines3
    5. Imitation Learning Library
    6. OpenAI Gym
    7. Farama Gymnasium
    8. DeepMind's Acme
    9. MMAction2

    AI recommended 9 alternatives but never named openai/Video-Pre-Training. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of openai/Video-Pre-Training?
    pass
    AI named openai/Video-Pre-Training explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts openai/Video-Pre-Training in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/Video-Pre-Training explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo openai/Video-Pre-Training solve, and who is the primary audience?
    pass
    AI named openai/Video-Pre-Training explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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openai/Video-Pre-Training — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite