You are a machine learning engineer on a team that is designing a deep sea exploration robot which will explore areas never before visited. The robot will be so deep that its impractical to send commands for every motion. Rather then robot needs to know how to navigate among obstacles itself while collecting data. How would you frame this problem?

MACHINE LEARNING PIPELINE

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

You are a machine learning engineer on a team that is designing a deep sea exploration robot which will explore areas never before visited. The robot will be so deep that it’s impractical to send commands for every motion. Rather then robot needs to know how to navigate among obstacles itself while collecting data. How would you frame this problem?

A	This problem is not suitable for machine learning.
B	Supervised Learning Problem
C	Reinforcement Learning Problem
D	Unsupervised Learning Problem

Explanation:

Detailed explanation-1: -Reinforcement Learning for Robotics For a robot to successfully operate in a given environment it must make sense of it somehow, plan its actions and execute those plans using some means of actuation, while using feedback to make sure everything proceeds according to plan.

Detailed explanation-2: -Unlike a person (or a company), AI systems do not have a legal status (interestingly, it should be mentioned that some have called for awarding legal status to AI robots, but this has so far remained a theoretical idea). Lacking legal status, AI systems are unable to pay compensation for damages that they have caused.

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