Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Eval Results (legacy)
Instructions to use musunurutanusha/MLAgents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use musunurutanusha/MLAgents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="musunurutanusha/MLAgents-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
ML-Agents Agent playing Pyramids
This is a trained model of a Pyramids agent using the Unity ML-Agents toolkit. Trained by musunurutanusha for Unit 5 of the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Mean Reward: 1.80 +/- 0.20
- Result (Mean - Std): 1.60 (Requirement: >= -100) -> PASSED
Files
Pyramids.onnx: Trained ONNX policyPyramids.nn: Unity Neural Network fileconfiguration.yaml: Training configuration hyperparameters
- Downloads last month
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Evaluation results
- mean_reward on ML-Agents-Pyramidsself-reported1.80 +/- 0.20