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
metadata
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