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Jakob Thumm

10 papers hereh-index 9252 citations19 works total

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

author position
  • first author6
  • middle author4

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.RO7
  • cs.LG2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedProvably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking

9 citations · 12 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.RO2024

A General Safety Framework for Autonomous Manipulation in Human Environments

Jakob Thumm, Julian Balletshofer, Leonardo Maglanoc +2

Autonomous robots are projected to significantly augment the manual workforce, especially in repetitive and hazardous tasks. For a successful deployment of such robots in human env…

cs.RO2024

Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction

Jakob Thumm, Christopher Agia, Marco Pavone +1

Adjusting robot behavior to human preferences can require intensive human feedback, preventing quick adaptation to new users and changing circumstances. Moreover, current approache…

cs.LG2024

Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

Roland Stolz, Hanna Krasowski, Jakob Thumm +3

Continuous action spaces in reinforcement learning (RL) are commonly defined as multidimensional intervals. While intervals usually reflect the action boundaries for tasks well, th…

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