Instructions to use Subhash3008/m-agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Subhash3008/m-agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Subhash3008/m-agents-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Add model evaluation metadata for Deep RL Course certification
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-Pyramids
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- ml-agents
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- deep-rl-course
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model-index:
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- name: m-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: 2.0 +/- 0.1
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name: mean_reward
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---
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# ML-Agents Pyramids
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This is a trained model for the **Hugging Face Deep Reinforcement Learning Course**.
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- **Environment**: `ML-Agents-Pyramids`
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- **Library**: `ml-agents`
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- **Evaluation Score**: `2.0 +/- 0.1`
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Trained and submitted by **Subhash3008**.
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