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ORCIDSayantan Auddy
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2020 – today
- 2024
[j3]Sayantan Auddy
, Ramit Dey, Neal J. Turner, Shantanu Basu:
GRINN: a physics-informed neural network for solving hydrodynamic systems in the presence of self-gravity. Mach. Learn. Sci. Technol. 5(2): 25014 (2024)- [c4]Sayantan Auddy, Sebastian Bergner, Justus H. Piater:
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration. ERF (1) 2024: 315-320 - [c3]Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus H. Piater, Alois Knoll, Nicolás Navarro-Guerrero:
Continual Domain Randomization. IROS 2024: 4965-4972 - [i11]Sayantan Auddy, Sebastian Bergner, Justus H. Piater:
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration. CoRR abs/2401.00524 (2024) - [i10]Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus H. Piater, Alois Knoll, Nicolás Navarro-Guerrero:
Continual Domain Randomization. CoRR abs/2403.12193 (2024) - [i9]Sayantan Auddy, Antonio Paolillo, Justus H. Piater, Matteo Saveriano:
Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation. CoRR abs/2406.09120 (2024) - 2023
- [j2]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual learning from demonstration of robotics skills. Robotics Auton. Syst. 165: 104427 (2023) - [i8]Sayantan Auddy, Ramit Dey, Neal J. Turner, Shantanu Basu:
GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity. CoRR abs/2308.08010 (2023) - [i7]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. CoRR abs/2311.03600 (2023) - 2022
- [j1]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. Trans. Mach. Learn. Res. 2022 (2022) - [i6]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual Learning from Demonstration of Robotic Skills. CoRR abs/2202.06843 (2022) - [i5]Sayantan Auddy, Ramit Dey, Min-Kai Lin, Daniel Carrera, Jacob B. Simon:
Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks. CoRR abs/2202.11730 (2022) - [i4]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. CoRR abs/2206.03787 (2022) - 2021
- [i3]Sayantan Auddy, Ramit Dey, Min-Kai Lin, Cassandra Hall:
DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps. CoRR abs/2107.09086 (2021) - 2020
- [i2]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR abs/2010.15533 (2020)
2010 – 2019
- 2019
- [c2]Sayantan Auddy, Sven Magg, Stefan Wermter:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. ICDL-EPIROB 2019: 13-18 - [i1]Sayantan Auddy, Sven Magg, Stefan Wermter:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. CoRR abs/1909.00732 (2019) - 2016
- [c1]Iris Wieser, Sibel Toprak, Andreas Grenzing, Tobias Hinz, Sayantan Auddy, Ethem Can Karaoguz, Abhilash Chandran, Melanie Remmels, Ahmed El Shinawi, Josip Josifovski, Leena Chennuru Vankadara, Faiz Ul Wahab, Alireza MollaAlizadeh Bahnemiri, Debasish Sahu, Stefan Heinrich, Nicolás Navarro-Guerrero, Erik Strahl, Johannes Twiefel, Stefan Wermter:
A Robotic Home Assistant with Memory Aid Functionality. KI 2016: 102-115
Coauthor Index
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