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# Unitree RL GYM
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# Unitree RL GYM
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TODO: 简介
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This is a simple example of using Unitree Robots for reinforcement learning, including Unitree Go2, H1, H1_2, G1
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### Installation
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### Installation
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* --seed SEED: Random seed.
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* --seed SEED: Random seed.
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* --max_iterations MAX_ITERATIONS: Maximum number of training iterations.
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* --max_iterations MAX_ITERATIONS: Maximum number of training iterations.
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2. Play:`python legged_gym/scripts/play.py --task=go2`
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2. Play:`python legged_gym/scripts/play.py --task=go2`
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* By default, the loaded policy is the last model of the last run of the experiment folder.
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* By default, the loaded policy is the last model of the last run of the experiment folder.
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* Other runs/model iteration can be selected by setting `load_run` and `checkpoint` in the train config.
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* Other runs/model iteration can be selected by setting `load_run` and `checkpoint` in the train config.
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### Robots Demo
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### Robots Demo
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4. G1
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4. G1
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https://github.com/user-attachments/assets/0b554137-76bc-43f9-97e1-dd704a33d6a9
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https://github.com/user-attachments/assets/0b554137-76bc-43f9-97e1-dd704a33d6a9
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