Skip to content

A game playing AI agent for Go using Minimax with Alpha Beta Pruning and Iterative deepening algorithms.

Notifications You must be signed in to change notification settings

lokeshsipani/Go-Game-Playing-Agent

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Go-Game-Playing-Agent

▷▶︎ A game playing AI agent for Go using Minimax with Alpha Beta Pruning and Iterative deepening algorithms.

▷▶︎ The agent uses the idea of variable depth based on the number of moves played by both the players.

▷▶︎ It is designed to take the current and previous board state as input and output the best move of the player.

▷▶︎ It uses an intermediate file 'moves.txt' to store and update the number of moves played till current state.

About

A game playing AI agent for Go using Minimax with Alpha Beta Pruning and Iterative deepening algorithms.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages