https://github.com/mgedda/kdom-ai

https://github.com/mgedda/kdom-ai

Last synced: about 5 hours ago
JSON representation

• Host: GitHub
• URL: https://github.com/mgedda/kdom-ai
• Owner: mgedda
• License: mit
• Created: 2017-03-28T21:21:29.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-07-14T22:47:42.000Z (over 6 years ago)
• Last Synced: 2024-08-03T18:12:54.755Z (4 months ago)
• Language: Mercury
• Size: 9.38 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

• awesome-monte-carlo-tree-search-papers - [Code

README

        
# AI Agents for the Game Kingdomino

This repository contains implementations AI agents for playing the

game of Kingdomino. The agents were used for the experiments in the

scientific article "Monte Carlo Methods for the Game Kingdomino" by

M. Gedda, M.Z. Lagerkvist, and M. Butler. The article is accepted for

publication at the IEEE Conference on Computational Intelligence and

Games 2018 (CIG 2018).

The agents are implemented in Java and use a small amount of

optimizations. The aim of the article was to examine and compare

different strategies rather than creating a fully optimized

implementation.

The agents use a REST API to communicate with a Kingdomino game

server. The server implementation can be downloaded from

[https://github.com/mratin/kdom-ai](https://github.com/mratin/kdom-ai

"Kingdomino server").

## Note

The implementations should not be viewed as idiomatic code. They are

written to solve specific problems and do not pretend to follow

industry code conventions or design principles.

This software is copyrighted under the MIT license. It is free to use

at your own free will but provided "as is" and without any

warranty. See LICENSE.txt for detailed license information.