Class Project Pac Man

The video tutorial guides viewers through creating a Pacman game using decision trees. It starts with setting up the project and defining labels for movement directions. Data is collected based on Pacman and Ghost movements, which is then used to train a model. The trained model allows Pacman to play autonomously, avoiding Ghosts. The tutorial concludes with an analysis of the decision tree that guides Pacman's decisions.

What is the first step in setting up the Pacman project?

• Choose a template for the project

• Assign values to Pacman's position

• Create a new project named Pacman

• Collect data from the game

What labels are used to categorize the movement data collected from the game?

• Forward, Backward, Left, Right

• Left, Right, Up, Down

• Jump, Duck, Slide, Run

• North, South, East, West

Which tool is used to implement the movement of Pacman and ghosts?

• C++

• Scratch

• Java

• Python

How is the training data collected during the game?

• Taking screenshots of the game

• Recording video of the gameplay

• Using a block of ad training data

• Manually inputting coordinates

What is the purpose of training the Pacman model?

• To add more ghosts

• To increase game speed

• To allow Pacman to play autonomously

• To improve graphics

What is used to determine Pacman's next move in the game?

• User input

• Recognized number from machine learning

• Random number generator

• Predefined script

What can be viewed by clicking on 'describe the model'?

• The game's soundtrack

• The list of ghosts

• The decision tree created from training

• The game's high score