Interested in the technology behind AlphaGo, recommender systems, and modern robotics? Reinforcement learning is arguably the most complex, but most exciting branch of machine learning to gain traction in recent years. Any problem that can be cast as an agent interacting with its environment to maximise some reward function can be solved using reinforcement learning. Fancy learning the theory behind these ideas and how to apply some state of the art algorithms?