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Picture for Sayantan Auddy

Sayantan Auddy

ASIAA, NCTS Physics Division

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance


Jun 08, 2022
Jakob Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus Piater


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Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks


Feb 23, 2022
Sayantan Auddy, Ramit Dey, Min-Kai Lin, Daniel Carrera, Jacob B. Simon

* 14 pages, 6 figures, submitted to ApJ 

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Continual Learning from Demonstration of Robotic Skills


Feb 15, 2022
Sayantan Auddy, Jakob Hollenstein, Matteo Saveriano, Antonio Rodríguez-Sánchez, Justus Piater

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps


Jul 19, 2021
Sayantan Auddy, Ramit Dey, Min-Kai Lin, Cassandra Hall

* 15 pages, 10 figures, to appear in ApJ 

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How do Offline Measures for Exploration in Reinforcement Learning behave?


Oct 29, 2020
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus Piater

* KBRL Workshop at IJCAI-PRICAI 2020, Yokohama, Japan 

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Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks


Sep 02, 2019
Sayantan Auddy, Sven Magg, Stefan Wermter

* In: Proceedings of the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), Oslo, Norway, Aug. 19-22, 2019 

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