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researcher

Tim Welschehold

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.LG1
ORCID 0000-0003-1163-4992

identity via Semantic Scholar / OpenAlex

most citedDynamic Update-to-Data Ratio: Minimizing World Model Overfitting

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.RO2023

Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models

Iman Nematollahi, Kirill Yankov, Wolfram Burgard +1

A long-standing challenge for a robotic manipulation system operating in real-world scenarios is adapting and generalizing its acquired motor skills to unseen environments. We tack…

cs.RO2023

Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces

Johan Vertens, Nicolai Dorka, Tim Welschehold +2

The safe deployment of autonomous vehicles relies on their ability to effectively react to environmental changes. This can require maneuvering on varying surfaces which is still a…

cs.LG2023★ 1 cited

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting

Nicolai Dorka, Tim Welschehold, Wolfram Burgard

Early stopping based on the validation set performance is a popular approach to find the right balance between under- and overfitting in the context of supervised learning. However…

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