README.md

metadata

library_name: ml-agents
tags:
  - Huggy
  - deep-reinforcement-learning
  - reinforcement-learning
  - ML-Agents-Huggy

ppo Agent playing Huggy

This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.

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-Huggy
2. Step 1: Find your model_id: NaTaB/huggy_testing
3. Step 2: Select your .nn /.onnx file
4. Click on Watch the agent play 👀