Instructions to use RyanAA/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use RyanAA/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="RyanAA/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
PPO SnowballTarget
This is a trained PPO agent playing SnowballTarget using Unity ML-Agents.
Environment
SnowballTarget
Algorithm
PPO (Proximal Policy Optimization)
Training Results
Final mean reward: ~23.2 after 200k training steps.
Usage
You can watch the agent play directly in your browser:
Go to: https://huggingface.co/spaces/ThomasSimonini/ML-Agents-SnowballTarget
Search for "RyanAA"
Select
SnowballTarget.onnxClick "Watch the agent play"
Files
SnowballTarget.onnx— trained policy network
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