Introduction to Reinforcement Learning
This post is intended to introduce the reader to the basic topic of reinforcement learning. The introduction clarifies important terms and basic concepts that are used in Reinforcement Learning.
Generative texts: Working with Artificial Intelligence
How can you use artificial intelligence to generate creative and valuable texts? In this post, you'll learn more about the opportunities and challenges of generative texts.
An Introduction to Semi Supervised Learning
Semi supervised learning represents one of the four topics of machine learning. This post is intended to give an introduction to the topic.
The Search Function - Redefined by Machine Learning
Microsoft and OpenAI, based on the immense success of ChatGPT, present a new way to search the Internet for information, starting a competition for Google's domination of the Internet.
An Introduction to Unsupervised Learning
Unsupervised Learning represents one of the four topics of Machine Learning. This post aims to provide an introduction to the topic.
An Introduction to Supervised Learning
Supervised Learning represents one of the four topics of Machine Learning. This post is intended to provide an introduction to the topic.
Artificial Neural Networks - A Milestone in Machine Learning
Neural networks are a hotly debated topic. But what are they and how exactly do they work? Some of these questions are answered here.
Machine Learning - Sounds interesting, but whats the matter?
Machine Learning is taking an increasingly important part in our lives. This post will explain why is likely a relevant concept in the future.
Double Deep Q-Network: DQN with stability upgrades
The Deep Q network sometimes suffers from various problems. The problems are presented here and a solution for these problems is presented.
Deep Recurrent Q Network - DQN with a look into the past
Deep Q-Networks sometimes need information from different time steps to converge quickly. The Deep Recurrent Q-Network represents one possibility for this.
Hyperparameter optimization for neural networks
How exactly does one perform hyperparameter optimization? What do you have to pay attention to there? What exactly does a visualization look like? There is an answer to all these questions here.
Deep Q Network - Deep Learning and Reinforcement Learning in a simple way
Artificial neural networks have achieved success in many fields. Here I present the first algorithm for training neural networks for reinforcement learning: the Deep Q-Network.