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
created readme file
Browse files
README.md
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---
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tags:
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- ml-agents
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- reinforcement-learning
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- ppo
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- unity
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- Pyramids
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---
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%%writefile README.md
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# PPO Pyramids Agent
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This model was trained using PPO with Unity ML-Agents in the Pyramids environment.
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## Environment
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Pyramids
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## Algorithm
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PPO (Proximal Policy Optimization)
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## Training
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The agent was trained using Unity ML-Agents and Hugging Face Deep RL course materials.
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## Files
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- `Pyramids.onnx` — trained policy network
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## Author
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Ryan Aparicio
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