Migration To Reinforcement learning using LNN
Published on February 28, 2025 by Abhishek
MotionRacer is evolving with the integration of Reinforcement Learning (RL) powered by Liquid Neural Networks (LNN). This transition enhances the game's AI, enabling adaptive decision-making, real-time learning, and dynamic responses to in-game environments. By leveraging LNN’s fluid adaptability, MotionRacer's AI drivers can improve over time, learning from their interactions to refine racing strategies, collision avoidance, and competitive tactics. This migration marks a significant leap towards creating a more immersive and intelligent racing experience.