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="./downloads"
- Notebooks
- Google Colab
- Kaggle
Publish evaluation model card for Unit 5 (Pyramids)
Browse files
README.md
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---
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library_name: ml-agents
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tags:
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- ML-Agents-Pyramids
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- reinforcement-learning
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- ml-agents
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model-index:
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- name: Model-ML-Agents-Pyramids
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: ML-Agents-Pyramids
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type: ML-Agents-Pyramids
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metrics:
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- type: mean_reward
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value: 50.0 +/- 5.0
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name: mean_reward
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verified: false
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---
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# Trained Agent playing ML-Agents-Pyramids
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This model was trained for the Hugging Face Deep Reinforcement Learning Course using `ml-agents`.
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