There are 2 repositories under game-playing topic.
Work-in-progress factorio bot
Game Playing with various AI and Machine Learning techniques
Project solutions for Udacity's AI Nanodegree Program
Programs developed for CSCI561 Foundations of Artificial Intelligence course
Official code repository for "Playing Chess with Limited Look Ahead"
A machine learning agent that learns to play a game using Deep Reinforcement Learning Technique
Game Plugin for OLDTV using the SerpentAI Game Agent Framework
Problem Solving With AI Approaches: Heuristic Searches, Statistical Classifications
Alpha-Beta Pruning Practice App
Implementation of the game othello (reversi) in C++ and ARM
A Kotlin implementation of Monte Carlo Tree Search
This programming assignment is to implement an agent that plays the Max-Connect4 game using Search.
General game playing agent with propositional net and multi-threaded Monte Carlo Tree Search.
Game Playing is an important domain of AI.
Artificial Intelligence Projects for Udacity Nanodegree
an AI designed to play "Codenames"
Similar to candy crush game. Make the move to score more points than the opponent.
Artificial Intelligence project , implementing "Othello" (strategy board game) using Unity, based on Alpha-Beta Pruning algorithm.
A simple tic-tac-toe game (commonly known as x's and o's) with an AI player and 3 modes(easy, medium, and hard). The hard mode is implemented using the min-max game-playing algorithm.
Practical implementations of Fundamental AI concepts
Artificial Intelligence
A Blooms implementation for the AlphaZero General library.
ARTIFICIAL INTELLIGENCE: Introduction to computer systems that exhibit intelligent behavior, in particular, perceptual and robotic systems. Topics include human-computer interfaces, computer vision, robotics, game playing, pattern recognition, knowledge representation, planning.
Game Playing using Minimax Algorithm in Artificial Intelligence using Python
Game Play implementation of American Checkers using Alpha Beta Pruning
A game-playing AI that uses Deep-Q Networks to play Checkers
Parallel implementation of game-playing algorithms
Created an AI that beats human opponents in the game of Isolation using Minimax, Alpha-Beta Search, and Iterative Deepening.
IS-MCTS agent for Legends of Code and Magic (WIP)