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Upload . with huggingface_hub

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  1. README.md +15 -1
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@@ -4,6 +4,20 @@ tags:
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  - deep-reinforcement-learning
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  - reinforcement-learning
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  - sample-factory
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  A(n) **APPO** model trained on the **mujoco_ant** environment.
@@ -24,7 +38,7 @@ python -m sample_factory.huggingface.load_from_hub -r andrewzhang505/ant_test4
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  To run the model after download, use the `enjoy` script corresponding to this environment:
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  ```
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- python -m sf_example.mujoco.enjoy_mujoco --algo=APPO --env=mujoco_ant --train_dir=./train_dir --experiment=ant_test4
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  ```
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  - deep-reinforcement-learning
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  - reinforcement-learning
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  - sample-factory
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+ model-index:
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+ - name: APPO
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+ results:
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+ - task:
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+ type: reinforcement-learning
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+ name: reinforcement-learning
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+ dataset:
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+ name: mujoco_ant
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+ type: mujoco_ant
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+ metrics:
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+ - type: mean_reward
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+ value: 213.12 +/- 114.38
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+ name: mean_reward
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+ verified: false
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  ---
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  A(n) **APPO** model trained on the **mujoco_ant** environment.
 
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  To run the model after download, use the `enjoy` script corresponding to this environment:
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  ```
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+ python -m sf_examples.mujoco.enjoy_mujoco --algo=APPO --env=mujoco_ant --train_dir=./train_dir --experiment=ant_test4
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  ```
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