The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

implement basic and contextual MAB algorithms for recommendation system

All codes, both created and optimized for best results from the SuperDataScience Course

Python implementation of UCB, EXP3 and Epsilon greedy algorithms

UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)

Oware and Ouril - traditional African Mancala games with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)

Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.

The example of using reinforcement learning algorithms in the business, specifically finding what ads to use in our campaign.

3 dimensional Four in a Row game with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short).

Alquerque - a 2 player abstract strategic perfect information traditional board game with computer AI option.

AI for the game "Connect Four". Available on PyPI.

A simple implementation of Reinforcement Learning using UCB in python.

A Comparative Evaluation of Active Learning Methods in Deep Recommendation

A python based ML tool for CRT inspection & optimization

This repository inclues the Samurai framework and all the implemented base engines.

An AI agent implemented using Monte Carlo Tree Search (MCTS) using Upper Confidence Bounds (UCT).

Tools for implementing upper confidence bound optimization

A fighting game AI: KeepAwayBot, implemented in Java using Hierarchical Task Networks and the Upper Confidence Bounds Algorithm

Strong Aritifical Intelligence for Checkers created using Upper Confidence Tree algorithm with GUI.