Reinforcement learning

Reinforcement learning is a sort of Machine Learning in which an operator learns how and when to respond in a given environment by taking certain actions and observing its outcomes. We can even see a lot of progress in this remarkable field of research in recent decades. DeepMind and the Deep Q learning architecture in 2014, AlphaGo defeating the master of the game of Go in 2016, OpenAI and the PPO in 2017, and others are only a few examples. Reinforcement Learning is based on the premise that an operator can gain knowledge from their environment by interacting with it and obtaining incentives for taking actions. All environmental encounters provide us with opportunities to learn through our interactions with the world.