Reinforcement Learning: What it is, how it works, benefits & applications

Reinforcement learning is one of the subfields of machine learning. The machine learning model can gain abilities to make decisions and explore in an unsupervised and complex environment by reinforcement learning. Reinforcement learning models use rewards for their actions to reach their goal/mission/task for what they are used to. So, reinforcement learning is different from supervised and unsupervised learning models. Reward rules are determined in the reinforcement learning algorithms.