Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning
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Updated
Jul 11, 2024 - Python
Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning
An Intelligent Pente Playing Agent
Chess Bot using custom Heuristics and Minimax Algorithm
An attempt to build an agent to solve a modifed version of the 8 puzzle problem
Monte Carlo Tree Search module for general game playing, as well as some concrete implementations of agents for specific games.
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
This Project was part of CSCI 561 - Foundations of Artificial Intelligence.
The Reinforcement Learning project on Pacman.
Developing an intelligent agent to play a game of dots and boxes optimally using Q-learning.
Rust Softwarechallenge 2022 Client
A game of Chinese checkers where a user is able to play against an AI with multi levels of difficulty. The internal ai utilises the min-max algorithm
Project to create an intelligent agent that plays the Term.ooo game
A game-playing AI agent is developed for a Competitive Sudoku game using minimax algorithm with alpha-beta pruning and iterative deepening. It is further advanced using heuristics and Monte Carlo Tree Search algorithm.
Game playing project containing Classical Search and AI techniques applied to playing Pac-Man.
Game playing project which contains the development of an agent to play Knights Isolation
This repo contains samples supporting a workshop at CASCONxEvoke 2021
CHANGE is a Human-AI team collaborative problem solving game environment.
A curated list of my Artificial Intelligence project.
A Go game playing AI Agent using MiniMax with Alpha Beta Pruning and Iterative Deepening algorithms
Legends of Code and Magic bot submitted to the IEEE CEC 2020's Strategy Card Game AI Competition
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