(Reinforcement Learning): In reinforcement learning, the state is the current situation of the environment and provides useful information to know how to evaluate the right action. For example, if an agent is trying to find a solution to a maze, the state would be whether or not the agent is at the maze solution, and whether or not there are obstacles that prevent movement in a particular direction at that point in time.