Skip to content

This Maze Game is a simulation-based project that demonstrates the application of Q-learning, a popular Reinforcement Learning (RL) technique, to train an intelligent agent (rat) to find optimal paths in a maze to reach cheese while avoiding walls or traps. The game is developed using Python and Pygame for visualization.

License

Notifications You must be signed in to change notification settings

nadiyasoaib/maze-game

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

maze-game

This Maze Game is a simulation-based project that demonstrates the application of Q-learning, a popular Reinforcement Learning (RL) technique, to train an intelligent agent (rat) to find optimal paths in a maze to reach cheese while avoiding walls or traps. The game is developed using Python and Pygame for visualization.

About

This Maze Game is a simulation-based project that demonstrates the application of Q-learning, a popular Reinforcement Learning (RL) technique, to train an intelligent agent (rat) to find optimal paths in a maze to reach cheese while avoiding walls or traps. The game is developed using Python and Pygame for visualization.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages