3 papers
cs.LG2025
Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
Vinay Kanakeri, Shivam Bajaj, Ashwin Verma +2
It is known that reinforcement learning (RL) is data-hungry. To improve sample-efficiency of RL, it has been proposed that the learning algorithm utilize data from 'approximately s…
eess.SY2025
Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control
Shivam Bajaj, Prateek Jaiswal, Vijay Gupta
``Sim2real gap", in which the system learned in simulations is not the exact representation of the real system, can lead to loss of stability and performance when controllers learn…
eess.SY2025
Online Model Order Reduction of Linear Systems via -Similarity
Shivam Bajaj, Carolyn L. Beck, Vijay Gupta
Model order reduction aims to determine a low-order approximation of high-order models with least possible approximation errors. For application to physical systems, it is crucial…