Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Game - Car Racing Game

This video tutorial introduces the concept of building a self-driving car model using reinforcement learning. It covers the environment setup using OpenAI Gym, the game frame dimensions, and the reward system based on track completion. The tutorial also explains how rewards are calculated and concludes with a preview of upcoming topics on environment and actions.

Explain how the number of tiles affects the reward in the model.

What will be discussed in the upcoming video according to the text?