BLISS Speaker Series #28 -Test-Time Training Agents for Deep Exploration -

Test-Time Training Agents for Deep Exploration

BLISS features Jonas Hübotter, who is currently a PhD student at ETH Zürich and will discuss "Test-Time Training Agents for Deep Exploration", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. 

Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.

Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.

Abstract: TBD

Bio: Jonas is a PhD student in the Learning and Adaptive Systems Group at ETH Zurich, advised by Andreas Krause. His research focuses on test-time training and reinforcement learning, with broader interests in probabilistic inference, optimization, and online learning. He received an MSc in Theoretical Computer Science and Machine Learning from ETH Zurich, where he was awarded the ETH Medal, and a BSc in Computer Science and Mathematics from the Technical University of Munich. His work has been published at NeurIPS, ICLR, ICML, and COLM.