1 citations · 1 across the 6 of their papers we have counts for
6 papers
Comparison of Non-Deterministic Nonlinear Systems
Shivam Bajaj, Varun S. Madabushi, Maegan Tucker +1
We characterize a notion of system comparison, termed as -similarity, for non-deterministic nonlinear systems. Building on a similar notion recently proposed for stable…
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…
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…
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…
QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration
Kaustubh D. Dhole, Shivam Bajaj, Ramraj Chandradevan +1
Formulating effective search queries remains a challenging task, particularly when users lack expertise in a specific domain or are not proficient in the language of the content. P…
Rationality of Learning Algorithms in Repeated Normal-Form Games
Shivam Bajaj, Pranoy Das, Yevgeniy Vorobeychik +1
Many learning algorithms are known to converge to an equilibrium for specific classes of games if the same learning algorithm is adopted by all agents. However, when the agents are…