| --- |
| library_name: sample-factory |
| tags: |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - sample-factory |
| model-index: |
| - name: APPO |
| results: |
| - task: |
| type: reinforcement-learning |
| name: reinforcement-learning |
| dataset: |
| name: atari_airraid |
| type: atari_airraid |
| metrics: |
| - type: mean_reward |
| value: 465.00 +/- 182.76 |
| name: mean_reward |
| verified: false |
| --- |
| |
| A(n) **APPO** model trained on the **atari_airraid** environment. |
| |
| This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory. |
| Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/ |
| |
