Unsupervised Reinforcement Learning

Gives an overview of what unsupervised learning and reinforcement learning is. We explain the differences between the three types of machine learning (supervised, unsupervised and reinforcement). - Unsupervised: the goal of clustering, walkthrough k-means, the elbow method, introduce other clustering algorithms (15 mins). - Reinforcement: Explain the RL problem; define state, action, reward, agent, environment, and policy; and walkthrough how a simple RL algorithm learns to do simple task (15 mins).