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--- |
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library_name: stable-baselines3 |
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tags: |
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- AntBulletEnv-v0 |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- stable-baselines3 |
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model-index: |
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- name: A2C |
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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: AntBulletEnv-v0 |
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type: AntBulletEnv-v0 |
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metrics: |
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- type: mean_reward |
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value: 1379.53 +/- 315.94 |
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name: mean_reward |
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verified: false |
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--- |
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**Source**: <br> |
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DRL course, unit6 A2C AntBullet and robot Reacher.ipynb <br> |
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Used as a sample of working with mujoco. <br> |
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# **A2C** Agent playing **AntBulletEnv-v0** |
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This is a trained model of a **A2C** agent playing **AntBulletEnv-v0** |
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). |
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