most citedUW-MARL: Multi-Agent Reinforcement Learning for Underwater Adaptive Sampling using Autonomous Vehicles

13 citations · 25 across the 7 of their papers we have counts for

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eess.SY2021★ 1 cited

Location-aware Beamforming for MIMO-enabled UAV Communications: An Unknown Input Observer Approach

Alireza Mohammadi, Mehdi Rahmati, Hafiz Malik

Numerous communications and networking challenges prevent deploying unmanned aerial vehicles (UAVs) in extreme environments where the existing wireless technologies are mainly grou…

eess.SY2019★ 13 cited

UW-MARL: Multi-Agent Reinforcement Learning for Underwater Adaptive Sampling using Autonomous Vehicles

Mehdi Rahmati, Mohammad Nadeem, Vidyasagar Sadhu +1

Near-real-time water-quality monitoring in uncertain environments such as rivers, lakes, and water reservoirs of different variables is critical to protect the aquatic life and to…