Dear all, We invite you to the next UnRAVeL survey lecture talk today (03.07.) 12:30 to 14:00, Computer Science Center, Building E2, ground floor, B-IT room 5053.2, given by Sebastian Trimpe about "Uncertainty in Learning and Control“! -------------------- Titel: Uncertainty in Learning and Control Abstract: In the research at DSME, we combine feedback control and machine learning to develop algorithms for physical systems such as robots, autonomous vehicles, or production. A central theme across our research is uncertainty. In feedback control, uncertainty is the prime reason for using feedback in the first place. When we add learning to the loop, we make decisions based on components learned from data, which are inherently imperfect. This makes uncertainty quantification and management even more critical. In this talk, I will discuss several of our approaches in learning-based control, emphasizing the role of uncertainty in each. In particular, I will focus on methods in deep reinforcement learning, imitation learning from optimal control, and auto-tuning via Bayesian optimization. I will highlight recent results and describe different mechanisms we use to address and leverage uncertainty. Throughout, I will connect these methods to real-world applications, including hardware experiments with unicycle robots, quadcopters, and cars. -------------------- Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios. Each lecture is given by one of the researchers involved in UnRAVeL. This years topic is "Highlights of UnRAVeL!". As UnRAVeL nears its conclusion, we take this opportunity to reflect on seven years of excellent research. Through nine talks, we invite you to experience the scientific highlights of our RTG, along with its numerous successes, developments, and collaborations. All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2025 and engage in discussions with researchers and doctoral students. The overall remaining schedule is as following: 03.07.2025 - Sebastian Trimpe - Uncertainty in Learning and Control 10.07.2025 - Christopher Morris - Exploring the Power of Graph Neural Networks in Solving Optimization Problems 17.07.2025 - Christina Büsing - Dealing with Uncertainty Inspired by Health Care – a Robust Optimization Approach Kind regards, Jan-Christoph for the organisation committee