IEEE TCDS · 2023 · Journal article · Lead author with a top-venue record

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model

Sayantan Auddy, Jakob Hollenstein, Matteo Saveriano, Antonio Rodrı́guez-Sánchez, Justus Piater

Technische Universität Berlin · Universität Innsbruck · University of Trento · Universidade de Santiago de Compostela

Rendered by arXiv from the LaTeX source. If anything looks wrong, switch to the PDF.HTML · PDF · Open in a new tab ↗ · Close
Published in
IEEE Transactions on Cognitive and Developmental Systems
Date
2026-01-01
Citations
11
arXiv
2311.03600
Cite
@article{auddy2023scalable,
  title = {Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model},
  author = {Sayantan Auddy and Jakob Hollenstein and Matteo Saveriano and Antonio Rodrı́guez-Sánchez and Justus Piater},
  year = {2023},
  journal = {IEEE Transactions on Cognitive and Developmental Systems},
  eprint = {2311.03600},
  archivePrefix = {arXiv},
  doi = {10.1109/TCDS.2026.3692632},
  url = {https://arxiv.org/abs/2311.03600},
}