Reinforcement Learning and Deep RL Python Theory and Projects - Playing the Game Manually

Reinforcement Learning and Deep RL Python Theory and Projects - Playing the Game Manually

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial guides viewers through debugging syntax errors, setting up a field class, executing actions to move and pick up items, and completing a task by dropping off items. It also covers error correction and reviews the process, concluding with a discussion on future plans and assignments.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the initial error encountered in the code?

A missing semicolon

A syntax error with equality operators

An undefined variable

A missing function definition

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the initial position of the car in the grid?

(0, 9)

(0, 0)

(9, 0)

(9, 9)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which action number corresponds to moving left?

Action #1

Action #2

Action #3

Action #4

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the correct action to pick up the item?

Action #2

Action #3

Action #4

Action #1

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the mistake made during the drop-off action?

Missing action definition

Using a comparison operator instead of assignment

Incorrect grid size

Wrong initial position

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many total steps were taken to complete the game manually?

25 steps

31 steps

27 steps

29 steps

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the new task introduced for the viewer?

To complete the game using a different route

To write a new function

To debug the code

To change the grid size