Reinforcement Learning Lab

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Organizers

Prof. Dr. Joschka Bödecker

Co-organizers

Julien Brosseit 

• Lecture: HISinOne number: 11LE13P-7320
• Language: English
• Location: Room 42 (second floor) Intelligent Machine-Brain Interface Technology (IMBIT)
• Kickoff meeting: Wednesday 16.10.24 , 11:00 - 12:00
• Lecture slides, exercises and solutions will be posted on ILIAS.

Welcome to the RL Lab, a teaching effort of the Neurorobotics (NR) lab. In this program, we aim to offer hands on experience in implementing Deep Reinforcement Learning (DRL) methods. We will provide introductory lectures on Deep Learning and Reinforcement Learning basics, which are a prerequisite for the successful execution of the project assignments. Throughout the duration of the course, we will progressively introduce and implement foundational Reinforcement Learning algorithms, subsequently incorporating advanced techniques until reaching state-of-the-art, and evaluate them on simulated environments.

Format: 

The lectures will be given in person