If you’re looking to dive into the exciting world of Reinforcement Learning (RL) using Rocket League as your playground, you’ve come to the right place! This article will walk you through the process of setting up the Rocket League Gym API, a Python interface that transforms Rocket League into an OpenAI Gym-style environment. Let’s kick off!

Requirements

Before we get started, ensure you have the following prerequisites:

• A Windows 10 PC
• Rocket League (supports both Steam and Epic versions)
• Bakkesmod
• The RLGym plugin for Bakkesmod (installed automatically via pip)
• Python versions between 3.7 and 3.9 (3.10 is not supported)

Installation Steps

Let’s get started with the installation process. Follow these steps carefully:

1. Open your command line interface (Terminal, Command Prompt, etc.)
2. Install the RLGym API by executing the following command:

pip install rlgym

3. After installing the library, you need to enable the RLGym plugin within the Bakkesmod plugin manager.
4. Launch Rocket League and press F2 to open the Bakkesmod menu.
5. Navigate to the “Plugins” tab and select “Plugin Manager”.
6. Scroll down to find the RLGym plugin and enable it.
7. Close the game after enabling the plugin.

Testing the Installation

Congratulations! RLGym is now installed. To ensure everything works smoothly, navigate to the example file provided in the repository and run example.py.

Understanding the Code Structure

The structure of this project can be likened to a basketball training session. Each element serves a purpose in enhancing your skills:

• Basketball (Rocket League): The game environment where your skills are tested.
• Coaching (RLGym API): The guidance system that provides feedback and sets the rules of engagement.
• Players (Reinforcement Learning algorithms): The techniques you use to improve your game play by interacting with the environment.
• Training Sessions (example.py): The scripts that simulate matches, allowing you to practice and refine your strategies.

By treating Rocket League as a gym, you’re set to develop stronger AI agents that can maneuver through the challenges of the game!

Troubleshooting

Even the best setups can hit a snag now and then. Here are some common issues and how to solve them:

• Plugin Not Detected: Ensure that Bakkesmod is running and the plugin is enabled. Go through the plugin manager once more.
• Python Version Issues: Confirm your Python version is within 3.7 to 3.9. If you’re using 3.10, you’ll need to downgrade.
• Game Crashes: Sometimes a simple restart of both the game and Bakkesmod can solve underlying issues.
• Example.py Errors: If you face errors running example.py, check if the RLGym plugin was successfully enabled.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Final Remarks

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

If you follow these steps, you’ll have a solid setup for experimenting with AI in Rocket League, making your training a blast!