H
habitat-lab
facebookresearch/habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
★3.1kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Agents category, core strengths: computer-vision/deep-learning
Who made it?Maintained by facebookresearch team, 3.1K⭐ on GitHub, #461 out of 2166 in Agents
Why does it exist?In the Agents space, computer-vision workflows faced efficiency bottlenecks. habitat-lab was built by facebookresearch to address these deep-learning challenges.
What can it do?Key use cases: deep-reinforcement-learning, reinforcement-learning, research
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/facebookresearch/habitat-lab | 官网 https://aihabitat.org/
🔗 github.com/facebookresearch/habitat-lab | 官网 https://aihabitat.org/
Topics
aicomputer-visiondeep-learningdeep-reinforcement-learningpythonreinforcement-learningresearchroboticssim2realsimulator