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Kami-code
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update examples.
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README.md

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DexArt is a novel benchmark and pipeline for learning multiple dexterous manipulation tasks.
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This repo contains the **simulated environment** code for DexArt.
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The learning part for DexArt will release soon.
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The learning part for DexArt has been released in [DexArt-algo](https://github.com/Kami-code/dexart-algo).
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![DexArt Teaser](docs/teaser.png)
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the [Google Drive](https://drive.google.com/file/d/1JdReXZjMaqMO0HkZQ4YMiU2wTdGCgum1/view?usp=sharing) and place
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the `asset` directory at the project root directory.
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3. If you want to visualize the policy or train the model by yourself, please visit [DexArt-Algo Repository](https://github.com/Kami-code/dexart-algo) for more information.
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## File Structure
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The file structure is listed as follows:
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examples/random_action.py

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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--task_name', type=str, default='laptop')
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parser.add_argument('--task_name', type=str, required=True)
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args = parser.parse_args()
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task_name = args.task_name
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examples/visualize_observation.py

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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--task_name', type=str, default='laptop')
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parser.add_argument('--task_name', type=str, required=True)
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args = parser.parse_args()
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task_name = args.task_name
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