Skip to content

Designed a game named “CHOMP” with use of reinforcement learning. Code was made in Python using a renowned algorithm namely “Monte Carlo Tree Search”. Outperformed humans after playing a fair number of games.

Notifications You must be signed in to change notification settings

adi5krish/Designing-CHOMP-game-using-Reinforcement-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Designing-CHOMP-game-using-Reinforcement-Learning

This project is done as part of the course Artificial Intelligence offered in FALL 2017. Created a game named “CHOMP” with use of reinforcement learning. Code was made in Python using a renowned algorithm namely “Monte Carlo Tree Search”.

This is a 2-player game where one player is the computer. Computer outperformed humans after playing a fair number of games explaining the fact that the machine has learnt how to play the game.

About CHOMP game : https://en.wikipedia.org/wiki/Chomp

About

Designed a game named “CHOMP” with use of reinforcement learning. Code was made in Python using a renowned algorithm namely “Monte Carlo Tree Search”. Outperformed humans after playing a fair number of games.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages