Reinforcement learning is an evolved version of machine learning and superior in terms of results delivered

For those who are unfamiliar, Reinforcement learning is a specialized form of supervised learning with a provision of training information provided by the environment. The learner/user in reinforcement learning needs to uncover actions that generate the best results, by being a part of the decision-making process. Instead of following instructions, the learner can override the system-generated commands to take decision on its own.

According to Technavio Research, unlike supervised learning, reinforcement learning exhibits adequacy in situations when there is an absence of a knowledgeable supervisor. In such unfamiliar situations, an agent is required to be able to learn from the interface and by using its own experience. This is where reinforcement learning is expected to showcase its advantages.