Deep reinforcement learning is a recent machine learning technique that is getting more attention. It has several applications such as self-driving cars and industry automation. In reinforcement learning, an agent will be trained incrementally from interacting with its environment. One of the recent core techniques in reinforcement learning is the deep Q-learning algorithm. Therefore, this talk will cover the fundamentals of deep Q-learning and its application in robotics control.