Question

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

Answer 1

TRUE

Step-by-step 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.

Answer 2

True.

Step-by-step explanation:

In Psychology, the aspect of artificial intelligence is a very broad and I must confess an important concept and it is this concept that brought about machine learning. Programming languages such as python, JavaScript, c++ and others are used in order to program computers or machines in order to be able to used a programmed data In it to learn.

The use of machine learning is that machines can actually do things with little inventions of humans that is when the programmed algorithm is already in the machine, the machine can learn and operate by itself.