Reinforcement Learning-Based Adaptive Path Planning for Autonomous Vehicles in Unpredictable Urban Environments
Autonomous vehicles (AVs) are transforming transportation by enabling intelligent, self-governing mobility. A crucial challenge in AV deployment is real-time path planning under dynamic and unpredictable road conditions. Traditional algorithms such as A* and Dijkstra, while effective in static environments, lack the fl...