What is Q-learning and deep Q network? In the vast landscape of artificial intelligence, reinforcement learning stands out as a powerful paradigm, enabling agents to learn optimal behavior through trial and error. Among its arsenal of techniques, Q-learning and Deep Q Networks (DQNs) emerge as beacons of innovation, illuminating paths to navigate complex decision spaces with remarkable efficiency. Basics of Q-Learning Q-learning, a fundamental algorithm in reinforcement learning, embarks on a journey where an agent, akin to an intrepid explorer, traverses a labyrinth of decisions and consequences. At its core lies the Q-table, a map of