MACHINE LEARNING

Detailed explanation-1: -The fourth statement will be considered false as the output used is unknown. The field of machine learning known as reinforcement learning (RL) is concerned with the best course of action for intelligent agents to adopt in a given environment in order to maximize the concept of cumulative reward.

Detailed explanation-2: -In Supervised learning, just a generalized model is needed to classify data whereas in reinforcement learning the learner interacts with the environment to extract the output or make decisions, where the single output will be available in the initial state and output, will be of many possible solutions.