| library_name: ml-agents | |
| tags: | |
| - ML-Agents-SnowballTarget | |
| - SnowballTarget | |
| - ml-agents | |
| - reinforcement-learning | |
| - deep-reinforcement-learning | |
| model-index: | |
| - name: ppo-SnowballTarget | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-SnowballTarget | |
| type: ML-Agents-SnowballTarget | |
| metrics: | |
| - type: mean_reward | |
| value: 25.50 +/- 2.10 | |
| name: mean_reward | |
| # **ppo** Agent playing **SnowballTarget** | |
| This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). | |
| To learn more check Unit 5 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit5/introduction | |