A Novel Approach to Autonomous Driving Using Double Deep Q-Network-Bsed Deep Reinforcement Learning
Deep reinforcement learning (DRL) trains agents to make decisions by learning from rewards and penalties, using trial and error.It combines reinforcement learning (RL) with deep neural networks (DNNs), enabling agents to process large datasets and learn from complex environments.DRL has achieved notable success in gaming, robotics, decision-making,