Qlearning4k is a reinforcement learning add-on for the python deep learning library Keras. Its simple, and is ideal for rapid prototyping. Reinforcement learning is all about training an agent to behave in an environment (such as a video game) so as to optimize a quantity (maximizing the game score), by performing certain actions in the environment (pressing buttons on the controller) and observing what happens. For every action it does, the agent gets a positive, negetive or a zero reward from the environment. These rewards help the agent understand what effect its action had on the environment, and the agent learns to do actions that are likely to result in a higher cumulative reward.