Timetable

Title Type Location Serial Start End All Day
Alpha Go 3 - MDPs, Value Iteration, Q-Learning (Prof. Jörg Hoffmann) Lecture E1.3, HS002 or Zoom/Youtube 1 06.01.22 06.01.22 No 
Machine Learning 1 - Introduction (Prof. Bernt Schiele) Lecture https://youtu.be/_RH5OkQxESA 1 25.11.21 25.11.21 No 
Introduction to Artificial Intelligence (Prof. Jörg Hoffmann) Lecture E1.3, HS002 or Zoom/Youtube 1 28.10.21 28.10.21 No 
Alpha Go 5 - Evaluation Functions & Alpha Go (Prof. Jörg Hoffmann) Lecture E1.3, HS002 or Zoom/Youtube 1 13.01.22 13.01.22 No 
Natural Language Processing 2 (Prof. Vera Demberg) Lecture E1.3, HS002 or Youtube 1 20.01.22 20.01.22 No 
Autonomous Driving 1 - (Prof. Bernt Schiele) Lecture zoom: https://zoom.us/j/93649545163?pwd=bGJZY0ZTUXlaM3dvWHd6U2Vvc3oydz09 1 03.02.22 03.02.22 No 
Natural Language Processing 4 (Prof. Vera Demberg) Lecture E1.3, HS002 or Youtube 1 27.01.22 27.01.22 No 
Introduction (Prof. Jens Dittrich) Lecture <a href="https://youtu.be/-4e-xNHQKzc">https://youtu.be/-4e-xNHQKzc</a> 1 21.10.21 21.10.21 No 
Alpha Go 2 - Heuristic Search, Monte-Carlo Tree Search (Prof. Jörg Hoffmann) Lecture Zoom/Youtube 1 16.12.21 16.12.21 No 
Machine Learning 5 - Neural Networks (Prof. Bernt Schiele) Lecture https://www.youtube.com/watch?v=YZNVrYO_tIg 1 09.12.21 09.12.21 No 
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