| --- |
| tags: |
| - LunarLander-v2 |
| - ppo |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - custom-implementation |
| - deep-rl-course |
| model-index: |
| - name: PPO |
| results: |
| - task: |
| type: reinforcement-learning |
| name: reinforcement-learning |
| dataset: |
| name: LunarLander-v2 |
| type: LunarLander-v2 |
| metrics: |
| - type: mean_reward |
| value: -101.69 +/- 95.52 |
| name: mean_reward |
| verified: false |
| --- |
| # PPO Agent Playing LunarLander-v2 |
|
|
| This is a trained model of a PPO agent playing LunarLander-v2. |
| |
| # Hyperparameters |
| ```python |
| {'max_frames': 400000 |
| 'gamma': 0.95 |
| 'PPO_epsilon': 0.2 |
| 'max_t': 99 |
| 'target_nets_update_freq': 50 |
| 'lr': 0.00025 |
| 'entropy_coef': 0.01 |
| 'env_id': 'LunarLander-v2'} |
| ``` |
| |
