October 16 – 21 , 2022, Dagstuhl Seminar 22422

Developmental Machine Learning: From Human Learning to Machines and Back


Pierre-Yves Oudeyer (INRIA – Bordeaux, FR)
James M. Rehg (Georgia Institute of Technology – Atlanta, US)
Linda B. Smith (Indiana University – Bloomington, US)
Sho Tsuji (University of Tokyo, JP)

For support, please contact

Susanne Bach-Bernhard for administrative matters

Michael Gerke for scientific matters


  • Computer Vision And Pattern Recognition
  • Machine Learning
  • Neural And Evolutionary Computing


  • Embodied AI
  • Self-supervised Learning
  • Virtual Agent Simulations
  • Computational Modeling of Infant Learning
  • Developmental Psychology


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


Download overview leaflet (PDF).


Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.