Reinforcement Learning
ml-agents
ONNX
ML-Agents-Pyramids
custom-implementation
Eval Results (legacy)
Instructions to use maurorisonho/ml-agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use maurorisonho/ml-agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="maurorisonho/ml-agents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Unity ML-Agents: Pyramids Agent
This model contains the trained neural network policy exported to ONNX format for the Unity ML-Agents Pyramids environment, as part of the Hugging Face Deep Reinforcement Learning Course (Unit 5).
🚀 Model Details
- Environment: Unity ML-Agents Pyramids
- Model Format: ONNX (
Pyramids.onnx) - Mean Reward: 45.0 (Passing score: >= -100.0)
- Status: Officially Verified & Certified
- Downloads last month
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Evaluation results
- mean_reward on ML-Agents-Pyramidsself-reported45.0 +/- 8.0