Oliver S

Dissecting “Reinforcement Learning” by Richard S. Sutton with custom Python implementations, Episode V Oliver S · Follow Published in Towards Data Science · 10 min read · 11 hours ago — In our previous post, we wrapped up the introductory series on fundamental reinforcement learning (RL) techniques by exploring Temporal-Difference (TD) learning. TD methods merge the strengths of Dynamic Programming (DP) and Monte Carlo (MC) methods, leveraging their best features to form some of the

Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode I Oliver S · Follow Published in Towards Data Science · 11 min read · 13 hours ago — Reinforcement Learning (RL) is a fascinating subfield of Machine Learning. You might already know it from applications such as playing Go [1], autonomous driving [2], and more. Equally fascinating in my opinion is Sutton’s and Barto’s famous book, “Reinforcement Learning” [3]. I think it’s

Get started with Kaggle and submit a (good) first solution Oliver S · Follow Published in Towards Data Science · 14 min read · 7 hours ago — Kaggle is a fun platform hosting a variety of data science and machine learning competitions — covering topics such as sports, energy or autonomous driving. In this post we will give an introduction to Kaggle, and tackle the introductory “Titanic” challenge. We will explain how to approach