https://github.com/bvyshali/Little-Go

Repository to demonstrate the use of Alpha-Beta Pruning to win against other intelligent agents in the adversarial game of Little-Go (5 x 5 board).
https://github.com/bvyshali/Little-Go

alpha-beta-pruning artificial-intelligence go minimax-algorithm python

Last synced: about 1 month ago
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Repository to demonstrate the use of Alpha-Beta Pruning to win against other intelligent agents in the adversarial game of Little-Go (5 x 5 board).

• Host: GitHub
• URL: https://github.com/bvyshali/Little-Go
• Owner: bvyshali
• Created: 2020-07-03T04:07:02.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-07-05T07:09:33.000Z (over 4 years ago)
• Last Synced: 2024-09-01T19:30:52.194Z (5 months ago)
• Topics: alpha-beta-pruning, artificial-intelligence, go, minimax-algorithm, python
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-golang-repositories - Little-Go - Beta Pruning to win against other intelligent agents in the adversarial game of Little-Go (5 x 5 board). (Repositories)

README

        
# Little-Go

This artificially intelligent Little-Go game (5x5 board) uses alpha-beta pruning to play against random, greedy and aggresive agents with greater than 80% win-rate.