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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 2023Show all

2 papers · 1 filter

cs.RO2023

Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration

Jakob Thumm, Felix Trost, Matthias Althoff

Deep reinforcement learning (RL) has shown promising results in robot motion planning with first attempts in human-robot collaboration (HRC). However, a fair comparison of RL appro…

cs.RO2023

Reducing Safety Interventions in Provably Safe Reinforcement Learning

Jakob Thumm, Guillaume Pelat, Matthias Althoff

Deep Reinforcement Learning (RL) has shown promise in addressing complex robotic challenges. In real-world applications, RL is often accompanied by failsafe controllers as a last r…

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