Instructions to use vitorveloso/mlagents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use vitorveloso/mlagents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="vitorveloso/mlagents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
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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- type: mean_reward
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value: 1.80 +/- 0.20
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name: mean_reward
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verified: false
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#
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This model was trained for the Hugging Face Deep Reinforcement Learning Course.
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- Algorithm:
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- Mean Reward:
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---
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tags:
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- ML-Agents-Pyramids
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- reinforcement-learning
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- type: mean_reward
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value: 1.80 +/- 0.20
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name: mean_reward
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---
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# PPO Agent playing ML-Agents-Pyramids
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This is a trained model of a PPO agent playing ML-Agents-Pyramids.
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