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#

expectiminimax

Here are 21 public repositories matching this topic...

2048-rs

A rust implementation of the famous 2048 game

  • UpdatedOct 10, 2023
  • Rust
expectiminimax-backgammon

A 2D JavaFX implementation of one of the most popular and old board games. The AI player's moves are calculated using the expectiminimax algorithm.

  • UpdatedFeb 2, 2023
  • Java

A MinMax Search Engine

  • UpdatedJun 17, 2021
  • C#

You can play the Syrian Persis board game against my AI agent that was built with Expectiminimax Algorithm

  • UpdatedJun 15, 2024
  • C#

Implemented a expectiminimax agent (2-ply search) with alpha – beta pruning and forward pruning (to reduce the branching factor in the game tree) to determine the best move give the state of the board.

  • UpdatedJun 14, 2017
  • Python

Simplified Monopoly board game, that is played by 2 expectiminimax agents.

  • UpdatedApr 19, 2023
  • Python

The Royal Game of Ur with expectiminimax AI.

  • UpdatedJul 20, 2019
  • C

基于 Expectiminimax 的西洋双陆棋博弈,参考了alexandremartens 、chanddu等大佬的有关项目

  • UpdatedJun 1, 2024
  • Python

Implementation of the game of Yahtzee using the expecti-minimax algorithm

  • UpdatedSep 16, 2018
  • Python

Implementation of a game called "Close the sector"

  • UpdatedJan 13, 2021
  • JavaScript

2048 with expectimax for the autoplay (botSolver/AI)

  • UpdatedJun 4, 2024
  • GDScript

A Backgammon bot which calculates its move using expectiminimax algorithm along with *-alpha-beta pruning.

  • UpdatedJul 29, 2022
  • Python

Durak (classic, 2 players) game implemented using Expectimax algorithm.

  • UpdatedJul 3, 2021
  • TypeScript

Course in Artificial Intelligence for the Winter semester 2022 - 2023 in Informatics, NKUA

  • UpdatedFeb 18, 2023
  • Python

I.A. utilizando estratégias de busca ("Expectiminimax" e "Monte-Carlo tree search") para jogar dominó com dois jogadores.

  • UpdatedNov 24, 2018
  • Python

This project implements an AI agent to play Connect 4 using advanced search algorithms and heuristics. The AI is designed to simulate competitive gameplay with efficient decision-making, utilizing minimax-based techniques enhanced by optimizations like alpha-beta pruning and caching.

  • UpdatedJan 26, 2025
  • Python

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