A part of machine learning where an agent learns to behave optimally. True or False

TRUE

Explanation:

Reinforcement learning (RL) is an aspect of machine learning which deals with how agents, software agents precisely take actions in an environment. This is in order to maximize and utilize the notion of cumulative reward.

It is found as one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.

B, Buffalo, they used them skin and fur for clothes because that was a very common animal