Our Motivation Why did we choose Q-Learning? This team project was part of the Deep Learning SS23 course under the guidance of Professor Beggel. The main objective was to create an AI agent that could kick butt at the game of Othello. Have you heard of Othello? It is a
Board games and artificial intelligence have long been closely linked. Even in the early days of AI research in the 1950s, games like chess and checkers were used as testbeds for algorithmic decision-making. Because of their controlled environment with clear rules, they are ideal for developing AI. But advances in
Contents 1. Introduction 2. Environment and Setup 3. Realization 4. Conclusion 5. References Introduction In the summer term 2023 we learned the basics of artificial neural networks in the course Deep Learning with Prof. Dr. Bastian Beggel. Depending on the field of application, different learning methods are used. There are
Dieser Blogbeitrag beschäftigt sich mit Data-Mining und beinhaltet die Erfassung, sowie Einordnung großer Datenmengen. Die Daten werden in ein Muster gebracht und in Beziehungen zueinander gestellt. Folgende Data-Mining-Techniken sind im Projekt umgesetzt worden: * Datensatz erstellen (Datenabzug) * Einstufung der Daten * Gruppierte Datensätze erstellen * Clustering * Zeitreihenanalysen * Prognosemethoden * Interpretation der ausgewerteten Daten >
As a part of the “Data Science” master course at the University of Applied Sciences Kaiserslautern in the winter semester of 2022/23, we investigated clustering, which is a type of unsupervised machine learning. In this article, we provide an overview of what clustering is and where to apply clustering,