Instructions to use RyanAA/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use RyanAA/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="RyanAA/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
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tags:
- ml-agents
- reinforcement-learning
- ppo
- unity
- Pyramids
- ML-Agents-Pyramids
- unity-ml-agents
- ONNX
---
%%writefile README.md
# PPO Pyramids Agent
This model was trained using PPO with Unity ML-Agents in the Pyramids environment.
## Environment
Pyramids
## Algorithm
PPO (Proximal Policy Optimization)
## Training
The agent was trained using Unity ML-Agents and Hugging Face Deep RL course materials.
## Files
- `Pyramids.onnx` — trained policy network
## Watch
To watch model go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids and search for RyanAA
## Author
Ryan Aparicio |