Transformers for Control: In-Context Learning of Controllers | UC Berkeley & UIUC AI Research скачать в хорошем качестве

Transformers for Control: In-Context Learning of Controllers | UC Berkeley & UIUC AI Research

Transformers for Control: In-context Learning of a Stabilizing Controller for an Unstable Dynamical System In this video, I share a talk I gave about my summer research exploring AI for robotics. An accompanying paper will be published in Q4 2025. This research was in affiliation with the University of California, Berkeley Department of EECS, the University of Illinois Urbana-Champaign Grainger College of Engineering, and the Berkeley AI Research Lab (BAIR). I am deeply grateful to Professor Dr. Gireeja Ranade, who led us with vision and constant support, and to Ebonye Smith, whose guidance shaped every step of my research. Working with you both was transformative, and I cannot thank you enough. A special thanks also to Dr. Ayush Pandey and Alex Frias for your invaluable contributions. Presentation(from video): https://docs.google.com/presentation/... Poster: https://drive.google.com/file/d/1V3MJ... About me: Website: https://www.aidanandrews.info/ LinkedIn:   / aidanandrewss   GitHub: https://github.com/aidanandrews22 X(twitter): https://x.com/aidansandrews