Instructions to use RyanAA/ppo-PushBlock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use RyanAA/ppo-PushBlock with ml-agents:
mlagents-load-from-hf --repo-id="RyanAA/ppo-PushBlock" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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tags:
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- reinforcement-learning
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- ml-agents
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- unity
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- ppo
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- ML-Agents-PushBlock
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license: mit
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---
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%%writefile README.md
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# PPO PushBlock Agent
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This model was trained using PPO with Unity ML-Agents in the PushBlock environment.
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## Environment
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PushBlock
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## Algorithm
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PPO (Proximal Policy Optimization)
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## Files
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- `PushBlock.onnx` — trained policy network
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## View
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1. https://huggingface.co/spaces/unity/ML-Agents-PushBlock
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2. RyanAA
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## Author
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Ryan Aparicio
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