andrewzhang505
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README.md
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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.
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@@ -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
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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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