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Habitat-Lab
==============================
Habitat-Lab is a modular high-level library for end-to-end development in embodied AI --
defining embodied AI tasks (e.g. navigation, rearrangement, instruction following, question answering),
configuring embodied agents (physical form, sensors, capabilities), training these agents (via imitation
or reinforcement learning, or no learning at all as in SensePlanAct pipelines), and benchmarking their
performance on the defined tasks using standard metrics.
Habitat-Lab uses [`Habitat-Sim`](https://github.com/facebookresearch/habitat-sim) as the core simulator.
For documentation refer [here](https://aihabitat.org/docs/habitat-lab/).
[![Habitat Demo](https://img.shields.io/static/v1?label=WebGL&message=Try%20AI%20Habitat%20In%20Your%20Browser%20&color=blue&logo=webgl&labelColor=%23990000&style=for-the-badge&link=https://aihabitat.org/demo)](https://aihabitat.org/demo)
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