Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use yojitha/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use yojitha/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="yojitha/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from yojitha/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 898 Bytes
-
https://huggingface.co/yojitha/ppo-SnowballTarget/resolve/main/README.md
- Command line
-
hf download hf://yojitha/ppo-SnowballTarget/README.md
-
curl -L -o README.md https://huggingface.co/yojitha/ppo-SnowballTarget/resolve/main/README.md
898 Bytes
| library_name: ml-agents | |
| tags: | |
| - SnowballTarget | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - ML-Agents-SnowballTarget | |
| - ml-agents | |
| 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: 10.00 +/- 0.00 | |
| name: mean_reward | |
| # **ppo-SnowballTarget** | |
| Trained ML-Agents PPO agent playing SnowballTarget for Hugging Face Deep RL Course Unit 5. | |
| This model was trained as part of the [Hugging Face Deep Reinforcement Learning Course](https://huggingface.co/learn/deep-rl-course/en/unit0/introduction). | |
| ## Model Details | |
| - **User:** [yojitha](https://huggingface.co/yojitha) | |
| - **Course Unit:** Unit 5a | |
| - **Task:** Reinforcement Learning | |