| library_name: sample-factory | |
| tags: | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - sample-factory | |
| - PongNoFrameskip-v4 | |
| model-index: | |
| - name: APPO | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: atari_pong | |
| type: atari_pong | |
| metrics: | |
| - type: mean_reward | |
| value: 21.00 +/- 0.00 | |
| name: mean_reward | |
| verified: false | |
| A(n) **APPO** model trained on the **atari_pong** environment. | |
| This model was trained using Sample Factory 2.0: https://github.com/alex-petrenko/sample-factory | |