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Update README.md
Signed-off-by: Jacob Haight <70984053+some45bucks@users.noreply.github.com>
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# For Heterogeneous Agent Reinforcement Learning
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[![IsaacSim](https://img.shields.io/badge/IsaacSim-4.2.0-silver.svg)](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html)
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# Isaac Lab
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**Isaac Lab** is a GPU-accelerated, open-source framework designed to unify and simplify robotics research workflows, such as reinforcement learning, imitation learning, and motion planning. Built on [NVIDIA Isaac Sim](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html), it combines fast and accurate physics and sensor simulation, making it an ideal choice for sim-to-real transfer in robotics.
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Isaac Lab provides developers with a range of essential features for accurate sensor simulation, such as RTX-based cameras, LIDAR, or contact sensors. The framework's GPU acceleration enables users to run complex simulations and computations faster, which is key for iterative processes like reinforcement learning and data-intensive tasks. Moreover, Isaac Lab can run locally or be distributed across the cloud, offering flexibility for large-scale deployments.

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