Reinforcement Learning (Q-learning) - An Introduction (Part 1)

Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers? A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like Breakout, Pong, and Space Invaders. These AI agents use Reinforcement Learning algorithms which is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs from supervised learning in not needing labeled input/output pairs to be presented, and in not needing sub-optimal actions to be explicitly corrected.