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cs.LG2021
Interpretable Design of Reservoir Computing Networks using Realization Theory
Wei Miao, Vignesh Narayanan, Jr-Shin Li
The reservoir computing networks (RCNs) have been successfully employed as a tool in learning and complex decision-making tasks. Despite their efficiency and low training cost, pra…
cs.LG2021
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…