Instructions to use ShoaibRaza12/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use ShoaibRaza12/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="ShoaibRaza12/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from ShoaibRaza12/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 732 Bytes
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https://huggingface.co/ShoaibRaza12/ppo-Pyramids/resolve/main/README.md
- Command line
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hf download hf://ShoaibRaza12/ppo-Pyramids/README.md
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curl -L -o README.md https://huggingface.co/ShoaibRaza12/ppo-Pyramids/resolve/main/README.md
732 Bytes
metadata
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
- ml-agents
PPO Agent playing Pyramids
This is a trained model of a PPO agent playing Pyramids with Curiosity (RND) using the Unity ML-Agents Library.
Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
Resume the training
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
Watch your Agent play
You can watch your agent playing directly in your browser: https://huggingface.co/spaces/unity/ML-Agents-Pyramids