Top Real World Applications of Reinforcement Learning in 2022

Reinforcement Learning is a subfield of Machine Learning in which an agent explores an environment to learn how to perform specific tasks by taking actions with a good outcome and avoiding those with a bad one. A reinforcement learning model will learn from its experiences and will identify which actions lead to the best rewards. In reinforcement learning, the agent takes action based on the state of the environment, and the environment will return the reward and the next state. The agent employs a trial and error method to learn. It initially takes random actions and identifies which actions lead to long-term rewards over time.