118 citations · 158 across the 6 of their papers we have counts for
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cs.MA2026
Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
John Gardiner, Orlando Romero, Brendan Tivnan +2
The inability to communicate poses a major challenge to coordination in multi-agent reinforcement learning (MARL). Prior work has explored correlating local policies via shared ran…
cs.MA2025
Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning
Nicolò Dal Fabbro, Milad Mesbahi, Renato Mendes +2
We study the problem of long-term (multiple days) mapping of a river plume using multiple autonomous underwater vehicles (AUVs), focusing on the Douro river representative use-case…