A Robotic Home Assistant with Memory Aid Functionality. - 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; et al. (KI, 2016)

Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. - Sayantan Auddy; Sven Magg; Stefan Wermter (ICDL-EPIROB, 2019)

How do Offline Measures for Exploration in Reinforcement Learning behave? - Jakob J. Hollenstein; Sayantan Auddy; Matteo Saveriano; Erwan Renaudo; Justus H. Piater (CoRR, 2020)

DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps. - Sayantan Auddy; Ramit Dey; Min-Kai Lin; Cassandra Hall (CoRR, 2021)

Continual Learning from Demonstration of Robotic Skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2022)

Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks. - Sayantan Auddy; Ramit Dey; Min-Kai Lin; Daniel Carrera; Jacob B. Simon (CoRR, 2022)

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. - Jakob J. Hollenstein; Sayantan Auddy; Matteo Saveriano; Erwan Renaudo; Justus H. Piater (Trans. Mach. Learn. Res., 2022)

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2023)

Continual learning from demonstration of robotics skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Robotics Auton. Syst., 2023)

Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration. - Sayantan Auddy; Sebastian Bergner; Justus H. Piater (ERF (1), 2024)

Continual Domain Randomization. - Josip Josifovski; Sayantan Auddy; Mohammadhossein Malmir; Justus H. Piater; Alois Knoll; Nicolás Navarro-Guerrero (IROS, 2024)

Direct Imitation Learning-based Visual Servoing using the Large Projection Formulation. - Sayantan Auddy; Antonio Paolillo; Justus H. Piater; Matteo Saveriano (CoRR, 2024)

GRINN: a physics-informed neural network for solving hydrodynamic systems in the presence of self-gravity. - Sayantan Auddy; Ramit Dey; Neal J. Turner; Shantanu Basu (Mach. Learn. Sci. Technol., 2024)

Imitation learning-based Direct Visual Servoing using the large projection formulation. - Sayantan Auddy; Antonio Paolillo; Justus H. Piater; Matteo Saveriano (Robotics Auton. Syst., 2025)

Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics. - Josip Josifovski; Shangding Gu; Mohammadhossein Malmir; Haoliang Huang; Sayantan Auddy; Nicolás Navarro-Guerrero; Costas J. Spanos; Alois Knoll (CoRR, 2025)

Trajectory First: A Curriculum for Discovering Diverse Policies. - Cornelius V. Braun; Sayantan Auddy; Marc Toussaint (CoRR, 2025)

VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars. - Sayed Shafaat Mahmud; Sayantan Auddy; Neal J. Turner; Jeffrey S. Bary (CoRR, 2025)

CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads. - Viktor Lorentz; Khaled Wahba; Sayantan Auddy; Marc Toussaint; Wolfgang Hönig (CoRR, 2025)