A rust implementation of the famous 2048 game
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.
Implementations of artificial intelligence agents that plays Pac-Man
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.
You can play the Syrian Persis board game against my AI agent that was built with Expectiminimax Algorithm
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.
Simplified Monopoly board game, that is played by 2 expectiminimax agents.
2048 Pseudo AI | 15-112 Term Project (Spring 2019)
AI 2048 solver
Implementation of the game of Yahtzee using the expecti-minimax algorithm
2048 with expectimax for the autoplay (botSolver/AI)
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.
AI agent for Dice Chess using Expectiminimax with Alpha-Beta pruning and Genetic Algorithm optimization
Implementation of a game called "Close the sector"
Course in Artificial Intelligence for the Winter semester 2022 - 2023 in Informatics, NKUA
Implemented Adversarial Search Algorithms - Expectimax, Minimax and Alpha-Beta Pruning.
A Backgammon bot which calculates its move using expectiminimax algorithm along with *-alpha-beta pruning.
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