Reinforcement Learning
ml-agents
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use muaibinrah/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use muaibinrah/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="muaibinrah/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget using the Unity ML-Agents Library (HF Deep RL Course Unit5).
Final training (run-id SnowballTarget5): Step 200000, Mean Reward 25.341, Std of Reward 1.965.
Usage
Download the .onnx file and use with the ML-Agents SnowballTarget demo, or watch it play at https://huggingface.co/spaces/ThomasSimonini/ML-Agents-SnowballTarget
- Downloads last month
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Evaluation results
- mean_reward on ML-Agents-SnowballTargetself-reported25.34 +/- 1.97