Reinforcement Learning
ml-agents
ONNX
ML-Agents-SnowballTarget
unity-ml-agents
Eval Results (legacy)
Instructions to use Yujana/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Yujana/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="Yujana/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
PPO Agent playing ML-Agents-SnowballTarget
This is a trained model of a PPO agent playing ML-Agents-SnowballTarget using Unity ML-Agents for Unit 5 of the Hugging Face Deep RL Course.
Evaluation Results
- Mean Reward: 20.0 +/- 2.0
- Score (Mean - Std): 18.0 (Requirement: >= -100.0)
Usage
This ONNX model can be used inside Unity or with ML-Agents inference.
- Downloads last month
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Evaluation results
- mean_reward on ML-Agents-SnowballTargetself-reported20.0 +/- 2.0