MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Reinforcement learning relies on output-related information.
A
True
B
False
C
Either A or B
D
None of the above
Explanation: 

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: -Which of the following is true about reinforcement learning? The agent navigates in an environmental building the example experiences or the training dataset. The target of an agent is to maximize the rewards and minimize the penalty.

Detailed explanation-3: -In reinforcement learning, this input and output have a specific name: the input is called the state, or input state. The output is the action performed by the AI. And in the middle, we have nothing other than a function that takes a state as input and returns an action as output. That function is called a policy.

There is 1 question to complete.