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researcher

Jonas Eschmann

7 papers hereh-index 5235 citations10 works total

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

author position
  • first author5
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.RO6
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedRLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

3 citations · 5 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.RO2023

Learning to Fly in Seconds

Jonas Eschmann, Dario Albani, Giuseppe Loianno

Learning-based methods, particularly Reinforcement Learning (RL), hold great promise for streamlining deployment, enhancing performance, and achieving generalization in the control…

cs.LG2023★ 3 cited

RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

Jonas Eschmann, Dario Albani, Giuseppe Loianno

Deep Reinforcement Learning (RL) can yield capable agents and control policies in several domains but is commonly plagued by prohibitively long training times. Additionally, in the…

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