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1 | 1 | # For Heterogeneous Agent Reinforcement Learning
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| 2 | +[](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html) |
| 3 | +[](https://docs.python.org/3/whatsnew/3.10.html) |
| 4 | +[](https://releases.ubuntu.com/20.04/) |
| 5 | +[](https://www.microsoft.com/en-us/) |
| 6 | +[](https://github.com/isaac-sim/IsaacLab/actions/workflows/pre-commit.yaml) |
| 7 | +[](https://github.com/isaac-sim/IsaacLab/actions/workflows/docs.yaml) |
| 8 | +[](https://opensource.org/licenses/BSD-3-Clause) |
2 | 9 |
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3 | 10 | <!--   -->
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4 | 11 | <!--
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@@ -90,15 +97,6 @@ Now you can use the instructions provided at the beginning of this README for tr
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90 | 97 | 
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91 | 98 | # Isaac Lab
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92 | 99 |
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93 |
| -[](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html) |
94 |
| -[](https://docs.python.org/3/whatsnew/3.10.html) |
95 |
| -[](https://releases.ubuntu.com/20.04/) |
96 |
| -[](https://www.microsoft.com/en-us/) |
97 |
| -[](https://github.com/isaac-sim/IsaacLab/actions/workflows/pre-commit.yaml) |
98 |
| -[](https://github.com/isaac-sim/IsaacLab/actions/workflows/docs.yaml) |
99 |
| -[](https://opensource.org/licenses/BSD-3-Clause) |
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102 | 100 | **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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103 | 101 |
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104 | 102 | 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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