News
- [May'26] I have started my PhD at the Learning and Adaptive Systems Group at ETH Zürich!
- [Apr'26] New preprint! Proud to present the work from my Master's thesis: Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
- [Feb'26] Excited to announce that our work has been accepted to ICLR 2026: Sample-efficient and Scalable Exploration in Continuous-Time RL
- [Nov'25] New preprint on arXiv: Learning Soft Robotic Dynamics with Active Exploration
- [Jul'25] Check out our newest workshop paper at EXAIT@ICML: Scalable and Efficient Exploration via Intrinsic Rewards in Continuous-time Dynamical Systems
- [Apr'25] I was able to present some of my research interests in the plenary session at the Meet the Talent event of the ETH Foundation. Check out the recording here!
About me
© ETH Foundation / Valeriano Di Domenico
Hi, I'm Klemens. I am a PhD student at the Learning and Adaptive Systems (LAS) Group supervised by Prof. Andreas Krause. Previously, I was a Master's student in Robotics at D-MAVT at ETH Zurich, a research assistant at LAS and at the Robotic Systems Lab, and also a teaching assistant for the courses Probabilistic Artificial Intelligence, Engineering Materials and Production, Control Systems II and a student coach for the SpaceHopper project at RSL.
I am most interested in Advanced Control Methods (Optimal Control, Model Predictive Control) as well as Machine Learning and Artificial Intelligence applications in Robotics, like Model-based RL or exploration in RL. Along the way, I have been fortunate to receive an ETH Excellence Scholarship, an Outstanding Teaching Assistant Award from D-MAVT, and recognition for academic performance during my exchange at Northwestern University.
Besides my studies, I am an elected member of parliament for Zug. Read more about it on this page.
Links
- LinkedIn: /in/klemensiten
- Google Scholar
- CV: Link
Contact
- E-Mail: kiten[ät]ethz[dot]ch
- Phone: +41 44 632 82 92
- Office: OAT Y 29