Seminar Robot Control: Reinforcement Learning and Planning

This seminar will cover different approaches to robot control divided into two tracks: Behavior Synthesis (BS) and Transfer Learning in Reinforcement Learning (RL). The first track studies different approaches to generate behavior models for an agent.

Lecture - Introduction to Knowledge Representation SS 2022

Contents The course introduces techniques for knowledge representation and reasoning. The topics covered are: First-order logic Expressing knowledge Full clausal logic Horn logic Procedural representations Answer set programming Production systems Description logics Inheritance networks Defaults Action Planning Abductive explanations Expressiveness/tractability trade-offs Course Dates starting Monday, April 11, 2022 Lecture Mondays 08:30h - 10:00h AH II Thursdays 08:30h - 10:00h AH II Tutorial Fridays 16:30h - 17:00h AH I Exam 1 20.

Proseminar: Artificial Intelligence SS 2022

The proseminar will be on different (sub-)topics from artificial intelligence. We largely follow the lines of the well known textbook by Stuart Russell and Peter Norvig “Artificial Intelligence - A Modern Approach”.