ResearchGate2025
Deep Reinforcement Learning for Autonomous RC Car Navigation in Dynamic Environments
TED University Autonomous RC Car Team
This paper presents a deep reinforcement learning approach for autonomous navigation of an RC car in dynamic indoor environments. Our method combines sensor fusion with deep Q-learning to enable real-time decision making and path planning.