Sayantan Auddy

24 papers A 1Misc 1Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constrained Sampling to Guide Universal Manipulation RL.
CoRR
Marc Toussaint, Cornelius V. Braun, Eckart Cobo-Briesewitz, Sayantan Auddy, Armand Jordana, Justin Carpentier
2025 J jnl
CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads.
CoRR
Viktor Lorentz, Khaled Wahba, Sayantan Auddy, Marc Toussaint, Wolfgang Hönig
2025 J jnl
Imitation learning-based Direct Visual Servoing using the large projection formulation.
Robotics Auton. Syst.
Sayantan Auddy, Antonio Paolillo, Justus H. Piater, Matteo Saveriano
2025 J jnl
Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics.
CoRR
Josip Josifovski, Shangding Gu, Mohammadhossein Malmir, Haoliang Huang, Sayantan Auddy, Nicolás Navarro-Guerrero, Costas J. Spanos, Alois Knoll
2025 J jnl
Trajectory First: A Curriculum for Discovering Diverse Policies.
CoRR
Cornelius V. Braun, Sayantan Auddy, Marc Toussaint
2025 J jnl
VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars.
CoRR
Sayed Shafaat Mahmud, Sayantan Auddy, Neal J. Turner, Jeffrey S. Bary
2024 A conf
Continual Domain Randomization.
IROS
Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus H. Piater, Alois Knoll, Nicolás Navarro-Guerrero
2024 J jnl
Continual Domain Randomization.
CoRR
Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus H. Piater, Alois Knoll, Nicolás Navarro-Guerrero
2024 J jnl
Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation.
CoRR
Sayantan Auddy, Antonio Paolillo, Justus H. Piater, Matteo Saveriano
2024 — conf
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration.
ERF (1)
Sayantan Auddy, Sebastian Bergner, Justus H. Piater
2024 J jnl
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration.
CoRR
Sayantan Auddy, Sebastian Bergner, Justus H. Piater
2024 J jnl
GRINN: a physics-informed neural network for solving hydrodynamic systems in the presence of self-gravity.
Mach. Learn. Sci. Technol.
Sayantan Auddy, Ramit Dey, Neal J. Turner, Shantanu Basu
2023 J jnl
Continual learning from demonstration of robotics skills.
Robotics Auton. Syst.
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2023 J jnl
GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity.
CoRR
Sayantan Auddy, Ramit Dey, Neal J. Turner, Shantanu Basu
2023 J jnl
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model.
CoRR
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2022 J jnl
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance.
CoRR
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
2022 J jnl
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance.
Trans. Mach. Learn. Res.
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
2022 J jnl
Continual Learning from Demonstration of Robotic Skills.
CoRR
Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2022 J jnl
Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks.
CoRR
Sayantan Auddy, Ramit Dey, Min-Kai Lin, Daniel Carrera, Jacob B. Simon
2021 J jnl
DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps.
CoRR
Sayantan Auddy, Ramit Dey, Min-Kai Lin, Cassandra Hall
2020 J jnl
How do Offline Measures for Exploration in Reinforcement Learning behave?
CoRR
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
2019 — conf
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks.
ICDL-EPIROB
Sayantan Auddy, Sven Magg, Stefan Wermter
2019 J jnl
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks.
CoRR
Sayantan Auddy, Sven Magg, Stefan Wermter
2016 Misc conf
A Robotic Home Assistant with Memory Aid Functionality.
KI
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