openai/Video-Pre-Training

Health v2 · maintenance only

Adoption not part of the score

1737 stars · 171 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenAI's Video PreTraining (VPT) codebase for learning Minecraft agents by watching unlabeled online videos, including behavioral cloning and reinforcement learning pipelines. It ships pre-trained foundation and fine-tuned agent models runnable in the MineRL environment.

Use cases

• run a pretrained AI agent that plays Minecraft
• reproduce the VPT paper's behavioral cloning results
• fine-tune video-pretrained models on contractor demonstration data
• train agents to act by watching unlabeled gameplay videos
• participate in the MineRL BASALT competition
• experiment with inverse dynamics model labeling of videos

When to choose

• you want to run or fine-tune OpenAI's pretrained Minecraft agents
• you're researching learning actions from unlabeled video
• you need a baseline for MineRL or BASALT competition work

When to avoid

• you need a general-purpose video understanding or video generation tool
• you want a maintained library for domains other than Minecraft/MineRL
• you need Python 3.10+ compatibility with pinned dependencies

Facets

library · maturity maintenance

machine-learning deep-learning reinforcement-learning video-processing simulation machine-learning deep-learning reinforcement-learning gaming-tools computer-vision python windows video-pretraining behavioral-cloning minecraft minerl imitation-learning openai pretrained-models linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openai/Video-Pre-Training")