Let's Make an AI that Destroys Video Games

The video tutorial introduces the concept of using AI in games, specifically focusing on building and training an AI model to play a game called Trash Blaster. The tutorial covers the steps to create the game using Python and Google Collaboratory, model the AI using neural networks and genetic algorithms, and train the AI to improve its performance. The tutorial emphasizes the importance of defining a fitness function to guide the AI's learning process and demonstrates how the AI evolves over multiple iterations.

Discuss the role of neural networks in the AI's decision-making.

What challenges are associated with using reinforcement learning for the AI?

What factors influence the mutation process in the genetic algorithm?

How can the fitness function be adjusted to improve the AI's performance?