Chrome's Popular offline T-rex game played by machine using genetic algorithm NEAT.

This game is generated using genetic algorithm NEAT (Neuroevolution of augmenting topologies). The input given to the neural networks are the Current Speedof game, the Horizontal distance and the Verticle distance of dino from obstacles. The dino can jump through obstacles as well as duck through some of them (Flying Dino).

The velocity of the upcoming obstacles keeps on increasing to a certain point. There are two modes for playing the game, the game played by human and game played by machine.

The highest score of both modes are saved and if user crosses these it changes.

Modules Used :

1. Pygame for making the game.
2. NEAT-python for algorithm.

Screenshots :

    The game starts with asking the user for the mode as shown below.
    In the automatic mode the machine starts playing the game 
    starting with a population of 100.

    In the manual mode the user starts playing by pressing SPACE to jump and 
    DOWN-ARROW-KEY to duck.

Resources and links :

  1. Youtube video 1 : https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Yd3975YwxrR0x40XGJ_KGO

  2. Youtube video 2 : https://www.youtube.com/watch?v=9zfeTw-uFCw&list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV

  3. Youtube video 3 : https://www.youtube.com/watch?v=1xkykD5Olok

  4. Article  1 : https://towardsdatascience.com/neat-an-awesome-approach-to-neuroevolution-3eca5cc7930f

  5. Must read documents are available inside docs folder.

Time taken :

  1.5 days. (Half day for that damn duck!)