activity
20192026
most citedGraph Neural Networks for Multi-Robot Active Information Acquisition

1 citations · 1 across the 6 of their papers we have counts for

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eess.SY2025

Deep Equivariant Multi-Agent Control Barrier Functions

Nikolaos Bousias, Lars Lindemann, George Pappas

With multi-agent systems increasingly deployed autonomously at scale in complex environments, ensuring safety of the data-driven policies is critical. Control Barrier Functions hav…

cs.RO2025

Symmetries-enhanced Multi-Agent Reinforcement Learning

Nikolaos Bousias, Stefanos Pertigkiozoglou, Kostas Daniilidis +1

Multi-agent reinforcement learning has emerged as a powerful framework for enabling agents to learn complex, coordinated behaviors but faces persistent challenges regarding its gen…