Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use Conqueror25/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Conqueror25/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="Conqueror25/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from Conqueror25/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 741 Bytes
-
https://huggingface.co/Conqueror25/ppo-SnowballTarget/resolve/main/README.md
- Command line
-
hf download hf://Conqueror25/ppo-SnowballTarget/README.md
-
curl -L -o README.md https://huggingface.co/Conqueror25/ppo-SnowballTarget/resolve/main/README.md
741 Bytes
metadata
library_name: ml-agents
tags:
- SnowballTarget
- 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://github.com/huggingface/ml-agents#get-started
Watch your Agent play
You can watch your agent playing directly in your browser: 👉 https://huggingface.co/spaces/ThomasSimonini/ML-Agents-SnowballTarget
- In step 1, choose your model repository:
Conqueror25/ppo-SnowballTarget - In step 2, choose
SnowballTarget.onnx