Roblox's First AI System
for Racing Games

An advanced reinforcement learning solution that brings intelligent, adaptive AI racing opponents to your Roblox games using PyTorch and Flask.

Key Features

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Reinforcement Learning

Utilizes the PPO algorithm to train AI models that improve over time through continuous feedback.

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Real-Time Control

Flask API enables seamless communication between the Roblox simulation and Python AI model.

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Roblox Integration

Specifically designed for racing games in Roblox, with easy integration into your projects.

How It Works

RFAS workflow diagram
  1. 1Roblox simulation sends state data (speed, position, etc.) to the Flask API
  2. 2The PyTorch model processes the data and determines optimal actions
  3. 3Control commands (throttle and steering) are sent back to the simulation
  4. 4The AI learns from rewards based on performance metrics and improves over time

Ready to Implement RFAS in Your Project?

Get started with RFAS today and bring advanced AI capabilities to your Roblox racing games.