28 citations · 44 across the 10 of their papers we have counts for
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eess.SY2023★ 12 cited
Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
Samuel Mallick, Filippo Airaldi, Azita Dabiri +1
This paper presents a novel approach to multi-agent reinforcement learning (RL) for linear systems with convex polytopic constraints. Existing work on RL has demonstrated the use o…
eess.SY2023
Second-Order Coverage Control for Multi-Agent UAV Photogrammetry
Samuel Mallick, Airlie Chapman, Eric Schoof
Unmanned Aerial Vehicles equipped with cameras can be used to automate image capture for generating 3D models via photogrammetry. Current methods rely on a single vehicle to captur…