Reinforcement Learning Checkers AI with Web Demo

A novel heuristics function for evaluating and selecting intermediate points in an autonomous exploration and mapping system where navigation is performed by a learned neural network.

Implementation of the Chinese Checkers game and an AI agent for it

Combined AI and Web-Development Subject: "A web application with AI bot for Νine Μen's Μorris board game"

A variation on the classic water jugs problem implemented using AI approach - heuristic and search algorithms like BFS, DFS, A-star programmed in python.

Unsupervised approach for inducing dialogue schemas from domain-specific conversations. This repository houses the source code and research findings from the application of cutting-edge NLP and ML techniques to dialogue systems.

Adverserial search agents for the game Ultimate Tic-Tac-Toe.

Adverserial search agents for the game Ultimate Tic-Tac-Toe.

TicTacToe with AI player on 3x3 and 5x5 boards

An AI based implementation of the game cannon that won the class tournament. Support for clients to play on a central server.

An AI based mobile UI analyzer keeping human in loop

A curated collection of custom skills for Claude

Implements an agent to play Othello with adversarial search

Tic-Tac-Toe game logic with Random, Minimax, and Heuristic AI agents competing against a human player in a round-robin tournament. Explore agent dynamics and performance in matches against human opponent.

an adversarial search agent to play the game "Isolation"

An AI agent for Teeko, a two-player deterministic board game played on a 5×5 grid. The agent is designed using adversarial search principles, specifically the minimax algorithm with depth cutoff and a custom heuristic evaluation function.

AI-driven board game composed of nine tic-tac-toe boards arranged in a 3 × 3 grid.