Autonomous Driving using Deep Reinforcement Learning in Urban Environment IJTSRD
Deep Reinforcement Learning has led us to newer possibilities in solving complex control and navigation related tasks. The paper presents Deep Reinforcement Learning autonomous navigation and obstacle avoidance of self driving cars, applied with Deep Q Network to a simulated car an urban environment. The car, using a variety of sensors will be easily able […]