Skip to content
#

evaluation-functions

Here are 14 public repositories matching this topic...

In the class CS-4341, Artificial Intelligence, we were tasked to build an agent that could play the game of Gomoku. In order to achieve this the team implemented the MiniMax algorithm, Alpha-beta-pruning as well as our own understanding of evualtion function to facilitate the previous two algorithms. Additionally to aide in the agents compentenc…

  • Updated Apr 13, 2021
  • Python

This project implements an AI agent for the 2048 game using the Expectimax algorithm. The AI agent is designed to make optimal moves by evaluating possible future game states. The project includes a game engine to handle the game mechanics, a user interface for manual play, and testing to verify the AI's performance and correctness.

  • Updated Apr 5, 2025
  • Python

Improve this page

Add a description, image, and links to the evaluation-functions topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the evaluation-functions topic, visit your repo's landing page and select "manage topics."

Learn more