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--- |
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tags: |
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- MountainCarContinuous-v0 |
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- a2c |
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- reinforcement-learning |
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- custom-implementation |
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model-index: |
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- name: A2C-MountainCarContinuous-v0 |
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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: MountainCarContinuous-v0 |
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type: MountainCarContinuous-v0 |
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metrics: |
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- type: mean_reward |
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value: 90.98 +/- 3.32 |
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name: mean_reward |
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verified: false |
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--- |
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# **A2C** Agent playing **MountainCarContinuous-v0** |
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Custom A2C model with a frameskip that solves the MountainCarContinuous-v0 env. Training and usage details are in the |
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`2.1 A2C_on_MountainCarContinuous-v0_frameskip.ipynb` jupyter notebook file. |
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Training progress: |
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In case video demo does not show on the model card, here's a gif: |
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