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