Teaching

Probabilistic Graphical Models (Lecture)

Time: Tuesday 16:15-17:45, Wednesday 12:15-13:45
Location: Building 101, SR 01-016/18
Instructors: Prof. Joschka Boedecker, Hao Zhu
Web Page: Hosted on ILIAS

Causality and Reinforcement Learning (Seminar)

Introductory lecture: Thursday 18.4, 10:00-12:00
Location: IMBIT, Georges-Köhler-Allee 201, Nexus-Lab
Instructors: Prof. Joschka Boedecker
Web Page: Hosted on ILIAS

Deep Learning Lab Neurorobotics Track (Lab)

Introductory lecture: Wednesday 17.4, 16:00-18:00
Location: Room: 00-006, Building 082
Instructors: Prof. Joschka Boedecker, Baohe Zhang, Jan Ole von Hartz
Web Page: Hosted on ILIAS and Here

Reinforcement Learning (Lecture)

Time: Wednesday 16:00-18:00, Friday 08:00-10:00, first lecture on October 18, 2023
Location: building 101, HS 00 026
Instructors: Prof. Joschka Boedecker, Dr. Gabriel Kalweit
Web Page: Hosted on ILIAS

Machine Learning in Health (Seminar)

First meeting on Thursday, October 19th. Please follow the link in the title for more information.

Reinforcement Learning (Lab)

Instructors: Prof. Joschka Boedecker

Deep Learning Lab (Lab Course)

Jointly organized with the Robotics, Robot Learning, Computer Vision and Machine Learning labs.
Lecture/Exercises: Wednesday, 16.00 c.t. -18.00; SR 00-031, Building 051. webpage

Foundations of Artificial Intelligence (Lecture)

Jointly organized with Tim Welschehold, and Steven Adriaensen.

Lectures: Tuesdays and Fridays, 10:00 c.t. - 12:00; HS 00 036 SCHICK - SAAL,  building 101. ILIAS page.

Policy Gradient Methods: Basics and Modern Extensions (Proseminar)

First meeting on Thursday, April 20th. Please follow the link in the title for more information.

Current Works in Deep Reinforcement Learning (Seminar)

First meeting on Thursday, April 20th. Please follow the link in the title for more information.

Reinforcement Learning (Lecture)

Time: Wednesday 16:00-18:00, Friday 08:00-10:00, first lecture on October 21, 2022
Location: building 101, HS 00 026
Instructors: Prof. Joschka Boedecker
Web Page: Hosted on ILIAS

Foundations of Artificial Intelligence (Lecture)

Jointly organized with Tim Welschehold, and Janek Thomas.

Lectures: pre-recorded, please make sure to watch them during the week before the Q&A; Q&A: Friday 10:00 - 12:00; in hybrid format, for details see ILIAS page.

Deep Learning Lab (Lab Course)

Reinforcement Learning (Lecture)

Time: Friday 14:00-15:30 s.t., first lecture on October 22, 2021
Location: Online
Instructors: Prof. Joschka Boedecker
Web Page: Hosted on ILIAS

Machine Learning, Winter Semester 2021/2022

Time: Monday 12:00-14:00 (Zoom link in HISInOne)
Location: Online
Instructors: Prof. Josif Grabocka, Prof. Joschka Boedecker
Web Page: Hosted on ILIAS (Password in HISInOne)

Foundations of Artificial Intelligence (Lecture)

Jointly organized with Bernhard Nebel, Wolfram Burgard, and Frank Hutter

Lectures: pre-recorded, please make sure to watch them during the week before the Q&A; Q&A: Friday 10:00 - 12:00; Online, for details see ILIAS page.

Model Predictive Control and Reinforcement Learning (Lecture)

Jointly organized with Moritz Diehl

Block course, please see page linked from the title for details. 

Reinforcement Learning (Lecture)

Friday 13:00-14:30 s.t. (online), first lecture on November 6

Deep Learning Lab

Jointly organized with the Robotics, Computer Vision and Machine Learning labs.
Lecture/Exercises: Tuesday, 14.00-16.00; Kinohörsaal/computer pools, Building 082. website

Reinforcement Learning (Lecture)

Lecture: Friday 14:00-16:00; Building 101, Seminar 01-009/013; ILIAS

Reinforcement Learning (Lecture)

Lecture: Friday 14:00-16:00; Building 082, HS 00 006; ILIAS

Deep Learning Lab

Jointly organized with the Robotics, Computer Vision and Machine Learning labs.
Lecture/Exercises: Tuesday, 14.00-16.00; Kinohörsaal/computer pools, Building 082. website