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="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 741 Bytes
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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](https://github.com/Unity-Technologies/ml-agents).
## 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
1. In step 1, choose your model repository: `Conqueror25/ppo-SnowballTarget`
2. In step 2, choose `SnowballTarget.onnx`
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