5 citations · 6 across the 4 of their papers we have counts for
4 papers
Cooperative Deep -learning Framework for Environments Providing Image Feedback
Krishnan Raghavan, Vignesh Narayanan, Jagannathan Sarangapani
In this paper, we address two key challenges in deep reinforcement learning setting, sample inefficiency and slow learning, with a dual NN-driven learning approach. In the proposed…
Learning to Control using Image Feedback
Krishnan Raghavan, Vignesh Narayanan, Jagannathan Saraangapani
Learning to control complex systems using non-traditional feedback, e.g., in the form of snapshot images, is an important task encountered in diverse domains such as robotics, neur…
Moment-Based Ensemble Control
Vignesh Narayanan, Wei Zhang, Jr-Shin Li
Controlling a large population, in the limit, a continuum, of structurally identical dynamical systems with parametric variations is a pervasive task in diverse applications in sci…
Disentangling Drift- and Control- Vector Fields for Interpretable Inference of Control-affine Systems
Vignesh Narayanan, Wei Miao, Jr-Shin Li
Many engineered as well as naturally occurring dynamical systems do not have an accurate mathematical model to describe their dynamic behavior. However, in many applications, it is…