| library_name: ml-agents | |
| tags: | |
| - SnowballTarget | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - ML-Agents-SnowballTarget | |
| - ml-agents | |
| model-index: | |
| - name: SnowballTarget | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-SnowballTarget | |
| type: ML-Agents-SnowballTarget | |
| metrics: | |
| - type: mean_reward | |
| value: 15.00 +/- 2.00 | |
| name: mean_reward | |
| verified: false | |
| # PPO Agent playing SnowballTarget | |
| This is a trained model of a PPO agent playing **SnowballTarget** using **Unity ML-Agents**. | |