https://github.com/marcaureln/pong-ml-agents
This is a simple implementation of the Pong game using the Unity ML-Agents Toolkit.
https://github.com/marcaureln/pong-ml-agents
game ml-agents pong unity unity2d
Last synced: about 1 month ago
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This is a simple implementation of the Pong game using the Unity ML-Agents Toolkit.
- Host: GitHub
- URL: https://github.com/marcaureln/pong-ml-agents
- Owner: marcaureln
- Created: 2023-10-03T21:51:32.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-04T11:03:55.000Z (over 2 years ago)
- Last Synced: 2025-02-28T21:07:51.478Z (over 1 year ago)
- Topics: game, ml-agents, pong, unity, unity2d
- Language: C#
- Homepage:
- Size: 137 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# pong-ml-agents
This is a simple implementation of the Pong game using the [Unity ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents).
The goal is to train an agent to play Pong against another agent. And then, to play against the trained agent.
If you want to learn more about ML-Agents, you can check out this [ML-Agents tutorial by Code Monkey](https://www.youtube.com/watch?v=zPFU30tbyKs).
## Getting Started
For this project, you will need to install Unity and the ML-Agents Toolkit.
### Setting Up Your Development Environment
1. Install [Unity](https://unity.com/)
2. Install [Anaconda](https://www.anaconda.com/) (optional, you can use virtualenv instead, but make sure to use Python 3.8)
3. Clone this repo: `git clone https://github.com/marcaureln/pong-ml-agents.git`
4. Open the project in Unity
### Setting Up ML-Agents Toolkit
You can find detailed installation instructions [here](https://github.com/Unity-Technologies/ml-agents/blob/develop/docs/Installation.md).
1. Install the `com.unity.ml-agents` Unity package (in Unity, go to `Window > Package Manager` and search for `ml-agents`)
2. Install the `mlagents` Python package. you can do this by running the following commands in your terminal:
```bash
# Create a Conda environment with Python 3.8
conda create -n ml-agents python=3.8
# Activate environment
conda activate ml-agents
# Install mlagents Python package
pip3 install mlagents==0.30.0
# If you are having issues with protobuf, try installing this version
pip3 install protobuf==3.20.3
```