| |
|
| | --- |
| | tags: |
| | - unity-ml-agents |
| | - ml-agents |
| | - deep-reinforcement-learning |
| | - reinforcement-learning |
| | - ML-Agents-SnowballTarget |
| | library_name: ml-agents |
| | --- |
| | |
| | # **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 |
| | We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: |
| | |
| |
|
| | ### Resume the training |
| | ``` |
| | mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume |
| | ``` |
| | ### Watch your Agent play |
| | You can watch your agent **playing directly in your browser:**. |
| | |
| | 1. Go to https://huggingface.co/spaces/unity/ML-Agents-SnowballTarget |
| | 2. Step 1: Write your model_id: phonenix/ppo-SnowballTarget |
| | 3. Step 2: Select your *.nn /*.onnx file |
| | 4. Click on Watch the agent play 👀 |
| | |
