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researcher

Astrid Niesse

3 papers hereh-index 5123 citations23 works total

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

author position
  • last author3

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

fields
  • cs.LG2
  • cs.CR1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedLearning the Optimal Power Flow: Environment Design Matters

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2025

A General Approach of Automated Environment Design for Learning the Optimal Power Flow

Thomas Wolgast, Astrid Nieße

Reinforcement learning (RL) algorithms are increasingly used to solve the optimal power flow (OPF) problem. Yet, the question of how to design RL environments to maximize training…

cs.LG2024★ 1 cited

Learning the Optimal Power Flow: Environment Design Matters

Thomas Wolgast, Astrid Nieße

To solve the optimal power flow (OPF) problem, reinforcement learning (RL) emerges as a promising new approach. However, the RL-OPF literature is strongly divided regarding the exa…

cs.CR2023

ANALYSE -- Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents

Thomas Wolgast, Nils Wenninghoff, Stephan Balduin +4

The ongoing penetration of energy systems with information and communications technology (ICT) and the introduction of new markets increase the potential for malicious or profit-dr…

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