← Search

David Sidoti

1 accepted papers

2025

Learning Multi-Agent Coordination for Replenishment At Sea

RA-L 2025

Optimizing large-scale logistics is computationally challenging due to its scale and requirement to be robust to stochastic and time-varying weather disturbances. However, prior research in multi-agent reinforcement learning (MARL) does not address scenarios that capture complexity of logistics oper

Cited by 1SourceScholar