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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Thomas Ulz

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2 papers indexed here

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Conference Open access Sep 2026

Learning When to Observe: A Reinforcement Learning Strategy for Exploration Scheduling in Mobile Robot Systems

Accurate station-state information is essential for reliable fleet control in autonomous warehouse systems, but fixed sensing infrastructure is costly and difficult to scale. This paper studies exploration scheduling for warehouse station monitoring under partial observability, where autonomous mobile robots are used a...

Christof Schützenhöfer, Thomas Ulz, Christian Steger · 0 citations
#artificial intelligence Preprint Oct 2026

Policy Search in Code Space for Multi-Agent Pathfinding

This work investigates a human-directed workflow in which coding agents iteratively propose, implement, evaluate, diagnose, and eventually refine algorithms guided by simulation feedback and explicit correctness verification and shows that this workflow robustly outperformed any manually engineered solutions.

Matthias Eder, Pantelis Emmanouil, V. Farias et al. · 0 citations

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