| | --- |
| | tags: |
| | - Pixelcopter-PLE-v0 |
| | - reinforce |
| | - reinforcement-learning |
| | - custom-implementation |
| | - deep-rl-class |
| | model-index: |
| | - name: Pixelcopter2 |
| | results: |
| | - task: |
| | type: reinforcement-learning |
| | name: reinforcement-learning |
| | dataset: |
| | name: Pixelcopter-PLE-v0 |
| | type: Pixelcopter-PLE-v0 |
| | metrics: |
| | - type: mean_reward |
| | value: 83.00 +/- 54.60 |
| | name: mean_reward |
| | verified: false |
| | --- |
| | |
| | # **Reinforce** Agent playing **Pixelcopter-PLE-v0** |
| | This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** . |
| |
|
| | This model didn't complete training but was still far better than the first one trained with fewer timesteps. |
