38 citations · 46 across the 7 of their papers we have counts for
13 papers
Online Convex Optimization with Long Term Constraints for Predictable Sequences
Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar
In this paper, we investigate the framework of Online Convex Optimization (OCO) for online learning. OCO offers a very powerful online learning framework for many applications. In…
Graph Learning for Cognitive Digital Twins in Manufacturing Systems
Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu +2
Future manufacturing requires complex systems that connect simulation platforms and virtualization with physical data from industrial processes. Digital twins incorporate a physica…
Generative Adversarial Imitation Learning for Empathy-based AI
Pratyush Muthukumar, Karishma Muthukumar, Deepan Muthirayan +1
Generative adversarial imitation learning (GAIL) is a model-free algorithm that has been shown to provide strong results in imitating complex behaviors in high-dimensional environm…
Adaptive Gradient Online Control
Deepan Muthirayan, Jianjun Yuan, Pramod P. Khargonekar
In this work we consider the online control of a known linear dynamic system with adversarial disturbance and adversarial controller cost. The goal in online control is to minimize…
Cognitive Preadaptation for Resilient Adaptive Control
Deepan Muthirayan, Pramod P. Khargonekar
In this paper, we investigate a novel control architecture and algorithm for incorporating preadaption functions. We propose a preadaptation mechanism that can augment any adaptive…
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
Shih-Yuan Yu, Arnav V. Malawade, Deepan Muthirayan +2
Despite impressive advancements in Autonomous Driving Systems (ADS), navigation in complex road conditions remains a challenging problem. There is considerable evidence that evalua…