3 papers
cs.RO2026
Training and Evaluating Diffusion Policies with Long Context Lengths
Abhinav Agarwal, Adam Wei, Taylan Kargin +6
Imitation learning has enabled highly-dexterous robotic manipulation from RGB observations. Policies trained with these methods, however, typically condition robot actions on only…
cs.LG2026
Distributionally Robust K-Means Clustering
Vikrant Malik, Taylan Kargin, Babak Hassibi
K-means clustering is a workhorse of unsupervised learning, but it is notoriously brittle to outliers, distribution shifts, and limited sample sizes. Viewing k-means as Lloyd--Max…
math.OC2024
Optimal Infinite-Horizon Mixed Control
Vikrant Malik, Taylan Kargin, Joudi Hajar +1
We study the problem of mixed control in the infinite-horizon setting. We identify the optimal causal controller that minimizes the …