Chess Engine Implementation using Minmax, Alpha-Beta Pruning, and Quiescence Search Algorithm.
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Updated
May 18, 2021 - Python
Chess Engine Implementation using Minmax, Alpha-Beta Pruning, and Quiescence Search Algorithm.
Rust software for solving impartial games.
UniBO Algorithms and Data Structure project. Intelligent M,N,K-game player using cutting-edge algorithms for optimal strategy
Solve the N-puzzle (best known as the 8 puzzle game) using a min priority queue and the A* search algorithm
Projects that are based on writing an AI to solve a specific problem.
An Ultimate-TicTacToe AI with Monte Carlo Tree Search
game tree search method - minmax, alphabeta, IDDFS
TicTacToe with Game Tree
Tic Tac Toe game with AI
A game player for two-player perfect information games, implemented using a min-max game tree, alpha-beta pruning, and a transposition table, along with a variety of heuristics.
The unbeatable TicTacToe with the MiniMax Algorithm
Algoritmo que analisa a melhor jogada para um tabuleiro de jogo da velha por meio de uma árvore de jogadas.
Artificial Intelligence- Game Play and Propositional Logic
School project on search-based problem-solving.
Implementation of Tic Tac Toe and AI players using C++. The AI players can use the Minimax algorithm and Monte Carlo Tree Search.
Project files for CSCI 5454 - Design and Analysis of Algorithms (Fall 2017)
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