2 papers
cs.LG2026
Learning Nonlinear Systems In-Context: From Synthetic Data to Real-World Motor Control
Tong Jian, Tianyu Dai, Tao Yu
LLMs have shown strong in-context learning (ICL) abilities, but have not yet been extended to signal processing systems. Inspired by their design, we have proposed for the first ti…
cs.RO2024
Automated Creation of Digital Cousins for Robust Policy Learning
Tianyuan Dai, Josiah Wong, Yunfan Jiang +5
Training robot policies in the real world can be unsafe, costly, and difficult to scale. Simulation serves as an inexpensive and potentially limitless source of training data, but…