5 papers
A Technical Taxonomy of LLM Agent Communication Protocols
Linus Sander, Habtom Kahsay Gidey, Alexander Lenz +1
As large language models (LLMs) advance and multi-agent systems aim to overcome the limits of standalone agents, robust communication protocols are becoming essential infrastructur…
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…
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…
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…
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…