22 citations · 66 across the 21 of their papers we have counts for
3 papers · 1 filter
CT-DQN: Control-Tutored Deep Reinforcement Learning
Francesco De Lellis, Marco Coraggio, Giovanni Russo +2
One of the major challenges in Deep Reinforcement Learning for control is the need for extensive training to learn the policy. Motivated by this, we present the design of the Contr…
Distributed control for geometric pattern formation of large-scale multirobot systems
Andrea Giusti, Gian Carlo Maffettone, Davide Fiore +2
Geometric pattern formation is crucial in many tasks involving large-scale multi-agent systems. Examples include mobile agents performing surveillance, swarm of drones or robots, o…
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application
Marco Coraggio, Saber Jafarpour, Francesco Bullo +1
Given a flow network with variable suppliers and fixed consumers, the minimax flow problem consists in minimizing the maximum flow between nodes, subject to flow conservation and c…