Reinforcement Learning
ml-agents
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use TagoreC/ML-Agents-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use TagoreC/ML-Agents-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="TagoreC/ML-Agents-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from TagoreC/ML-Agents-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 799 Bytes
-
https://huggingface.co/TagoreC/ML-Agents-SnowballTarget/resolve/main/README.md
- Command line
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hf download hf://TagoreC/ML-Agents-SnowballTarget/README.md
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curl -L -o README.md https://huggingface.co/TagoreC/ML-Agents-SnowballTarget/resolve/main/README.md
799 Bytes
metadata
library_name: ml-agents
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget using the Unity ML-Agents Library.
Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
Watch your Agent play
You can watch your agent playing directly in your browser
- Go to https://huggingface.co/spaces/unity/ML-Agents-SnowballTarget
- Step 1: Write your model_id: TagoreC/ML-Agents-SnowballTarget
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play