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.
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Updated
Feb 2, 2023 - Java
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.
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.
A rust implementation of the famous 2048 game
Implementations of artificial intelligence agents that plays Pac-Man
Simplified Monopoly board game, that is played by 2 expectiminimax agents.
2048 with expectimax for the autoplay (botSolver/AI)
Implementation of a game called "Close the sector"
You can play the Syrian Persis board game against my AI agent that was built with Expectiminimax Algorithm
Implementation of the game of Yahtzee using the expecti-minimax algorithm
A Backgammon bot which calculates its move using expectiminimax algorithm along with *-alpha-beta pruning.
基于 Expectiminimax 的西洋双陆棋博弈,参考了alexandremartens 、chanddu等大佬的有关项目
The Royal Game of Ur with expectiminimax AI.
I.A. utilizando estratégias de busca ("Expectiminimax" e "Monte-Carlo tree search") para jogar dominó com dois jogadores.
2048 Pseudo AI | 15-112 Term Project (Spring 2019)
Durak (classic, 2 players) game implemented using Expectimax algorithm.
Course in Artificial Intelligence for the Winter semester 2022 - 2023 in Informatics, NKUA
Implemented Adversarial Search Algorithms - Expectimax, Minimax and Alpha-Beta Pruning.
AI 2048 solver
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