Reinforcement Learning
ml-agents
TensorBoard
ONNX
ML-Agents-Pyramids
unity-ml-agents
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use swaroop06/MLAgents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use swaroop06/MLAgents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="swaroop06/MLAgents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
PPO agent playing ML-Agents-Pyramids
This is a trained model of an PPO agent playing ML-Agents-Pyramids for the Hugging Face Deep Reinforcement Learning Course (Unit 5 P2).
Evaluation Results
- Mean Reward: 1.85 +/- 0.30
- Environment: ML-Agents-Pyramids
- Algorithm: PPO
- Library: ml-agents
Usage
Trained and evaluated for the Hugging Face Deep RL Course certification.
- Downloads last month
- 12
Evaluation results
- mean_reward on ML-Agents-Pyramidsself-reported1.85 +/- 0.30