Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Game - Naive Random Solution

Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Game - Naive Random Solution

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial introduces a pick and drop game where the player acts as a courier carrier. The player must pick up a black item and drop it at a green point on a 10x10 grid. The game mechanics are likened to a taxi driver picking up and dropping off passengers. The tutorial explains the grid layout and the six possible actions: moving up, down, left, right, picking up, and dropping off items. The video concludes with a challenge for viewers to determine the agent's actions to complete the task.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main objective of the pick and drop game described in the video?

To collect as many items as possible

To reach the highest score possible

To pick up a black item and drop it at a green point

To avoid obstacles on the grid

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the size of the grid used in the game?

8 by 8

12 by 12

5 by 5

10 by 10

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which action corresponds to moving left on the grid?

Action #0

Action #1

Action #2

Action #3

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many times does the agent need to perform the 'move left' action to reach the black point?

5 times

7 times

9 times

11 times

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the final destination for dropping off the item in the game?

The red point

The green point

A random location

The starting point