Teaching — Neurorobotics Lab

WS2024/25

Machine Learning in Health (Seminar)

First meeting on Monday, October 14th. Please follow the link in the title for more information.

Reinforcement Learning (Lecture)

Time: Friday 08:30-10:00, first lecture on October 16, 2024
Location: HS 00 026 µ - SAAL (G.-Köhler-Allee 101)
Instructors: Prof. Joschka Boedecker, Dr. Gabriel Kalweit, Jasper Hoffmann, Yuan Zhang, Julien Brosseit
Web Page: Hosted on ILIAS

Reinforcement Learning (Lab)

Instructors: Prof. Joschka Boedecker

Data Bases and Information Systems (Lecture)

Time: Wednesday 14:00-16:00, first lecture on October 23, 2024
Location: HS 00 026 µ - SAAL (G.-Köhler-Allee 101)
Instructors: Prof. Joschka Boedecker, Julien Brosseit, Daniel Jost
Web Page: Hosted on ILIAS

SS2024

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

WS2023/24

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

SS2023

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.

WS2022/23

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

SS2022

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)

Jointly organized with the Robotics, Robot Learning, Computer Vision and Machine Learning labs.
Lecture/Exercises: Tuesday, 10.00-12.00; SR 00-034, Building 051. webpage

Q-Learning: Basics and Modern Extensions (Proseminar)

First meeting on Friday, April 29th. Please follow the link in the title for more information.

Model Predictive Control and Reinforcement Learning

WS2021/22

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)