Johannes Loevenich
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This series compiles a comparative study of different Reinforcement Learning algorithms, done in collaboration with my B.Sc. students @JoBo, @tobias-huerten, @LucaLiberto and @FlorianSpelter.

Articles in this series

An Informal Introduction to Reinforcement Learning

Nov 30, 20216 min read

This initial blog post written in collaboration with my B.Sc. students Jonas Bode, Tobias Hürten, Luca Liberto , and Florian Spelter intends to give a...

An Informal Introduction to Reinforcement Learning

Reinforcement Learning: Defining Concepts Mathematically

Dec 3, 20217 min read

Getting started with Reinforcement Learning! · This blog post was written in collaboration with my B.Sc. students Jonas Bode, Tobias Hürten, Luca...

Reinforcement Learning: Defining Concepts Mathematically

AlphaGo Zero Explained

Dec 14, 20219 min read

Mastering the Game of Go without Human Knowledge · In October 2015 DeepMind's AlphaGo Fan beat the European Go champion Fan Hui in the game of Go...

AlphaGo Zero Explained

Policy Types in Reinforcement Learning

Dec 15, 20216 min read

Deterministic and Stochastic Policies Explained · In Reinforcement Learning (RL), a policy is a description of how an agent behaves given its current...

Policy Types in Reinforcement Learning

Advanced Reinforcement Learning Concepts

Dec 18, 20218 min read

Temporal-Difference Learning and On vs Off-Policy Learning · Today, we'll look at two RL algorithms that appear to be identical on the surface but have a...

Advanced Reinforcement Learning Concepts

Introduction to Policy Gradients

Dec 22, 20229 min read

Understanding the Core Concepts · This post will introduce the core concepts underlying various policy gradient algorithms. As opposed to previously...

Introduction to Policy Gradients