Sayantan Auddy

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Justus PiaterProfessor of Computer Science, University of Innsbruck, AustriaVerified email at uibk.ac.at
Jakob HollensteinUniversity of InnsbruckVerified email at uibk.ac.at
Matteo SaverianoAssistant Professor, University of TrentoVerified email at unitn.it
Prof Dr Stefan WermterUniversity of HamburgVerified email at uni-hamburg.de
Antonio Rodriguez-SanchezAssociate Professor, University of InnsbruckVerified email at uibk.ac.at
Josip JosifovskiResearch Assistant, Technical University of MunichVerified email at tum.de
Sven MaggPostdoctoral Researcher, Universität HamburgVerified email at sven-magg.de
Iris Berthold, geb. WieserIABG, Innovationszentrum / ehem. Universität HamburgVerified email at online.de
Nicolás Navarro-GuerreroL3S Research Center, Leibniz University Hannover, GermanyVerified email at l3s.de

Sayantan Auddy

Ph.D. student at University of Innsbruck, Austria

Verified email at uibk.ac.at - Homepage

Continual Learning Robotics Reinforcement Learning Deep Learning


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Hierarchical control for bipedal locomotion using central pattern generators and neural networks S Auddy, S Magg, S Wermter 2019 Joint IEEE 9th International Conference on Development and Learning and …, 2019	15	2019
A Robotic Home Assistant with Memory Aid Functionality I Wieser, S Toprak, A Grenzing, T Hinz, S Auddy, EC Karaoğuz, ... Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2016	12	2016
Continual Learning from Demonstration of Robotic Skills S Auddy, J Hollenstein, M Saveriano, A Rodríguez-Sánchez, J Piater Robotics and Autonomous Systems 165 (0921-8890), 104427, 2023	8	2023
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance J Hollenstein, S Auddy, M Saveriano, E Renaudo, J Piater Transactions on Machine Learning Research, 2022	6	2022
How do Offline Measures for Exploration in Reinforcement Learning behave? JJ Hollenstein, S Auddy, M Saveriano, E Renaudo, J Piater arXiv preprint arXiv:2010.15533, 2020	2	2020
How does the type of exploration-noise affect returns and exploration on Reinforcement Learning benchmarks? J Hollenstein, M Saveriano, S Auddy, E Renaudo, J Piater Austrian Robotics Workshop, 22-26, 2021	1	2021
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model S Auddy, J Hollenstein, M Saveriano, A Rodríguez-Sánchez, J Piater https://arxiv.org/abs/2311.03600, 2023		2023
Hypernetwork-PPO for Continual Reinforcement Learning P Schöpf, S Auddy, J Hollenstein, A Rodriguez-Sanchez Deep Reinforcement Learning Workshop NeurIPS 2022, 2022		2022
Continual Learning Benchmarks for Antipodal Grasping S Auddy, J Hollenstein, M Saveriano, A Rodríguez-Sánchez, J Piater Austrian Robotics Workshop, 2022		2022
Can Expressive Posterior Approximations Improve Variational Continual Learning? S Auddy, J Hollenstein, M Saveriano, A Rodríguez-Sánchez, J Piater RO-MAN2020 workshop on Lifelong Learning for Long-term Human-Robot …, 2022		2022

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