中山大学人工智能实验 (2019 秋):16 个实验、4 个项目,包含搜索算法、CSP、Prolog、EM 算法、朴素贝叶斯、强化学习等
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Updated
Dec 15, 2020 - Python
中山大学人工智能实验 (2019 秋):16 个实验、4 个项目,包含搜索算法、CSP、Prolog、EM 算法、朴素贝叶斯、强化学习等
This is a 2D car game for AI algorithms such as Reinforcement learning or Genetic algorithm.
Training snake using different Artificial Intelligence algorithms (A-STAR, BREADTH FIRST SEARCH, DEPTH FIRST SEARCH & ARTIFICIAL NEURAL NETWORKS). This game is made using pygame and python libraries.
Creates a Training environment to test different kinds of Artificial Intelligente algorithms to be used in the Fast and Curious game.
Artificial Intelligence Chess AI with optimized minimax algorithm with alpha beta pruning and heuristic function implementation by Plipus Telaumbanua
Color Quantization using K-Means clustering algorithm and Python's OpenCV library - Artificial Intelligence (AI) final project - Summer 2024 /// by theMHD; thanks for chatGPT :)
This repository seeks to optimize bikes distribution of a public bicycle renting service across city stations using local search algorithms like Hill Climbing and Simulated Annealing, aiming to minimize costs and efficiently meet demand. It includes tools to visualize the distribution and showcases the utility of AI in urban logistics.
This is a simple Connect Four game implemented in Python with ability to play against computer
Tic Tac Toe game with minimax and alpha-beta pruning
Sudoku-generator and sudoku-solver implemented using different algorithms.
8 puzzle solver, a python program that solves the modified version of Expense 8 puzzle problem using different algorithms,
Comparative Analysis of BFS and DFS Algorithms for Solving the Chess Knight Problem
A Python-based chess-like board game featuring advanced AI strategies including Minimax and Alpha-Beta pruning algorithms. Implements both offensive and defensive heuristics with performance metrics tracking and GUI visualization using Pygame.
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