Poca SoccerTwos

🚀 Poca Agent Playing SoccerTwos

This is a trained model of a poca agent playing SoccerTwos using the Unity ML-Agents Library. It demonstrates the application of deep reinforcement learning in the SoccerTwos environment.

🚀 Quick Start

✨ Features

• Trained poca agent for the SoccerTwos game.
• Utilizes the Unity ML-Agents Library for reinforcement learning.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/

We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:

• A short tutorial where you teach Huggy the Dog to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
• A longer tutorial to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction

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. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
2. Step 1: Find your model_id: honestlyanubhav/poca-SoccerTwos
3. Step 2: Select your .nn /.onnx file
4. Click on Watch the agent play