RFAS Demo
See RFAS in Action
This demonstration shows how RFAS learns to navigate a race track in Roblox. Watch as the AI starts with no prior knowledge and gradually learns to:
- Stay on the track and avoid obstacles
- Optimize racing lines through corners
- Adjust speed appropriately for different track sections
- Improve lap times through continuous learning
Training Progress

The graph above shows the actual training progress of our RFAS model over time. You can see how the average reward increases as the AI learns better racing strategies.
After approximately 2,000 episodes of training, the AI consistently outperforms traditionally scripted racing opponents.
Comparison with Traditional AI
Traditional Scripted AI
- Follows predefined waypoints
- Limited ability to adapt to new tracks
- Predictable behavior patterns
- Manual tuning required for different vehicles
RFAS AI
- Learns optimal racing lines automatically
- Adapts to any track configuration
- Unpredictable, human-like behavior
- Self-tunes for optimal performance
In this side-by-side comparison, you can see how RFAS (right) tackles the same track as a traditionally programmed AI opponent (left). Notice the more natural driving style and better cornering performance of the RFAS-powered vehicle.
Try RFAS in Your Game
Getting Started
Ready to implement RFAS in your own Roblox racing game? Follow our step-by-step guide to get started:
- Clone the RFAS repository from GitHub
- Set up the Python environment with required dependencies
- Integrate the Roblox client scripts into your game
- Configure the connection between your game and the RFAS server
- Start training your own AI!
Community Showcase
Check out how other developers have implemented RFAS in their Roblox games:


