This video explains a fundamental learning technique in reinforcement learning: Policy Iteration. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we analyze the expectation-maximization algorithm and relate it to Kullback-Leibler statistics in the context of the missing information principle. Watch on:FAU TVYouTube

This video explains the basics of reinforcement learning: The Markov Decision Process and how to compute the expected future return. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we have a look at the expectation maximization algorithm using Gaussian Mixture Models. Watch on:FAU TVYouTube

This video explains the concepts of sequential decision making and the multi-armed bandit problem. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

It is a great pleasure to welcome Prof. Dr. Markus Haltmeier at our lab next week! Title: Learned Analysis and Synthesis Regularisation of Inverse ProblemsDate: Jan 13th 2021, 14h CETLocation: https://fau.zoom.us/j/92450392476?pwd=WnVKSWJ4V3pMck1CZUlvVVREelYzZz09 Abstract: Inverse problems co...