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Franziska Meier

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.RO1
ORCID 0000-0003-1640-4619
same name
  • Franziska Meier — 18 papers, h 31

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Probabilistic Representation for Dynamic Movement Primitives

19 citations · 20 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video

Matthias De Lange, Hamid Eghbalzadeh, Reuben Tan +3

In egocentric action recognition a single population model is typically trained and subsequently embodied on a head-mounted device, such as an augmented reality headset. While this…

cs.LG2023★ 1 cited

BC-IRL: Learning Generalizable Reward Functions from Demonstrations

Andrew Szot, Amy Zhang, Dhruv Batra +2

How well do reward functions learned with inverse reinforcement learning (IRL) generalize? We illustrate that state-of-the-art IRL algorithms, which maximize a maximum-entropy obje…

cs.LG2023

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement

Michael Chang, Alyssa L. Dayan, Franziska Meier +3

Object rearrangement is a challenge for embodied agents because solving these tasks requires generalizing across a combinatorially large set of configurations of entities and their…

cs.RO2016★ 19 cited

A Probabilistic Representation for Dynamic Movement Primitives

Franziska Meier, Stefan Schaal

Dynamic Movement Primitives have successfully been used to realize imitation learning, trial-and-error learning, reinforce- ment learning, movement recognition and segmentation and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.