Reinforcement Learning: Difference between Q and Deep Q learning

Artificial Intelligence has an estimated market of 7.35 billion US dollars and is growing by leaps and bounds. As predicted by McKinsey, AI, including reinforcement learning and deep learning techniques, can create $3.5 to 5.8 trillion dollars across nine businesses in 19 industries. Machine Learning is seen as a monolith, but in reality, the technology is diversified. It includes various sub-types including the state-of-art technology of deep reinforcement learning and deep learning. The objective of Reinforcement Learning is to maximize an agent’s reward by taking a series of actions as a response to a dynamic environment. In this article, one can read about Reinforcement Learning, its types, and their applications, which are generally not covered as a part of machine learning for beginners.