11 citations · 16 across the 5 of their papers we have counts for
5 papers
Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning (Extended Version)
Nhat D. A. Nguyen, Duong D. Nguyen, Gianluca Rizzo +1
Decentralized Monte Carlo Tree Search (Dec-MCTS) is widely used for cooperative multi-agent planning but struggles in sparse or skewed reward environments. We introduce Coordinated…
Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance
Hung The Nguyen, Matthew Garratt, Lam Thu Bui +1
The guidance of a large swarm is a challenging control problem. Shepherding offers one approach to guide a large swarm using a few shepherding agents (sheepdogs). While noise is an…
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
Hung The Nguyen, Tung Duy Nguyen, Vu Phi Tran +5
The control and guidance of multi-robots (swarm) is a non-trivial problem due to the complexity inherent in the coupled interaction among the group. Whether the swarm is cooperativ…
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction
Hung Nguyen, Vu Tran, Tung Nguyen +5
In apprenticeship learning (AL), agents learn by watching or acquiring human demonstrations on some tasks of interest. However, the lack of human demonstrations in novel tasks wher…
Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey
Aya Hussein, Leo Ghignone, Tung Nguyen +4
Swarm systems consist of large numbers of robots that collaborate autonomously. With an appropriate level of human control, swarm systems could be applied in a variety of contexts…