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--- |
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tags: |
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- Pong-PLE-v0 |
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- reinforce |
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- reinforcement-learning |
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- custom-implementation |
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- deep-rl-class |
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model-index: |
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- name: pong-policy |
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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: Pong-PLE-v0 |
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type: Pong-PLE-v0 |
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metrics: |
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- type: mean_reward |
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value: -16.00 +/- 0.00 |
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name: mean_reward |
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verified: false |
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--- |
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## parameters |
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pong_hyperparameters = { <br> |
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"h_size": 64,<br> |
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"n_training_episodes": 20000,<br> |
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"n_evaluation_episodes": 10,<br> |
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"max_t": 5000,<br> |
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"gamma": 0.99,<br> |
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"lr": 1e-2,<br> |
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"env_id": env_id,<br> |
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"state_space": s_size,<br> |
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"action_space": a_size,<br> |
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}<br> |
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