Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Eval Results (legacy)
Instructions to use Rishi26x/MLAgents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Rishi26x/MLAgents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Rishi26x/MLAgents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
MLAgents-Pyramids Agent playing ML-Agents-Pyramids
This is a trained model of a MLAgents-Pyramids agent playing ML-Agents-Pyramids using the ml-agents library. Trained for the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Mean Reward: 0.00
- Std Reward: 0.00
- Score (Mean - Std): 0.00
- Downloads last month
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Evaluation results
- mean_reward on ML-Agents-Pyramidsself-reported0.00 +/- 0.00