Reinforcement Learning
ml-agents
ONNX
ML-Agents-Pyramids
ppo
deep-rl-course
custom-implementation
Eval Results (legacy)
Instructions to use Deepuamrita23115/ppo-ML-Agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Deepuamrita23115/ppo-ML-Agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Deepuamrita23115/ppo-ML-Agents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
ppo-ML-Agents-Pyramids
This model was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Model Description
- Environment:
ML-Agents-Pyramids - Library:
ml-agents - Algorithm:
ppo - Mean Reward:
0.00 +/- 0.00
Evaluation Results
The model was evaluated on ML-Agents-Pyramids and achieved an average reward of 0.00 with a standard deviation of 0.00.
- Downloads last month
- 9
Evaluation results
- mean_reward on ML-Agents-Pyramidsself-reported0.00 +/- 0.00