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

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

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

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