An autonomous vehicle model using Deep Q-learning on simulator is planned. Autonomous cars are one of the greatest growing fields in upcoming decade as the certainly developing hardware and software technologies to fully independent driving ability without human interference. Autonomous vehicles are destined to be the cornerstone in shaping the future of mankind. Deep Learning(DL) has shown to achieve remarkable performance and accuracy in various insight and tasks in comparison to other methods. The key these key functions aspects for these remarkable results are their capability to learn millions of parameters using a huge volume of labeled data. Deep Q- Networks (DQN), a reinforcement Learning algorithm that accomplished human-level performance across various fields.
