Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use musunurutanusha/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use musunurutanusha/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="musunurutanusha/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
ML-Agents Agent playing SnowballTarget
This is a trained model of a SnowballTarget 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: 20.00 +/- 2.00
- Result (Mean - Std): 18.00 (Requirement: >= -100) -> PASSED
Files
SnowballTarget.onnx: Trained ONNX policyconfiguration.yaml: Training configuration hyperparameters
- Downloads last month
- 16
Evaluation results
- mean_reward on ML-Agents-SnowballTargetself-reported20.00 +/- 2.00