Reinforcement Learning Checkers AI with Web Demo
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Updated
Jan 23, 2019 - Python
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.
Combined AI and Web-Development Subject: "A web application with AI bot for Νine Μen's Μorris board game"
Implementation of the Chinese Checkers game and an AI agent for it
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.
TicTacToe with AI player on 3x3 and 5x5 boards
Implements an agent to play Othello with adversarial search
An AI based implementation of the game cannon that won the class tournament. Support for clients to play on a central server.
AI-driven board game composed of nine tic-tac-toe boards arranged in a 3 × 3 grid.
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"
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