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Alois Knoll

6 papers hereh-index 213 citations7 works total

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

author position
  • last author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.HC1
  • cs.MA1
same name
  • Alois Knoll — 34 papers, h 7
  • Alois Knoll — 16 papers, h 19
  • Alois Knoll — 11 papers, h 9
  • Alois Knoll — 11 papers, h 8
  • Alois Knoll — 8 papers, h 3
  • Alois Knoll — 7 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedFundamentals of Building Autonomous LLM Agents

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Knowledge Reutilization in Meta-Reinforcement Learning

Yuan Meng, Bo Wang, Juan de los Rios Ruiz +4

Meta-reinforcement learning enables fast adaptation by extracting shared structure from related tasks, but existing end-to-end methods often couple task inference with embodiment-s…

cs.AI2026

A Pattern Language for Resilient Visual Agents

Habtom Kahsay Gidey, Alexander Lenz, Alois Knoll

Integrating multimodal foundation models into enterprise ecosystems presents a fundamental software architecture challenge. Architects must balance competing quality attributes: th…

cs.AI2025

Affordance Representation and Recognition for Autonomous Agents

Habtom Kahsay Gidey, Niklas Huber, Alexander Lenz +1

The autonomy of software agents is fundamentally dependent on their ability to construct an actionable internal world model from the structured data that defines their digital envi…

cs.AI2025★ 1 cited

Fundamentals of Building Autonomous LLM Agents

Victor de Lamo Castrillo, Habtom Kahsay Gidey, Alexander Lenz +1

This paper reviews the architecture and implementation methods of agents powered by large language models (LLMs). Motivated by the limitations of traditional LLMs in real-world tas…

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