41 citations · 225 across the 43 of their papers we have counts for
6 papers · 1 filter
Synthesizing Decentralized Controllers with Graph Neural Networks and Imitation Learning
Fernando Gama, Qingbiao Li, Ekaterina Tolstaya +2
Dynamical systems consisting of a set of autonomous agents face the challenge of having to accomplish a global task, relying only on local information. While centralized controller…
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication
Rupert Mitchell, Jan Blumenkamp, Amanda Prorok
In this paper, we consider the problem of providing robustness to adversarial communication in multi-agent systems. Specifically, we propose a solution towards robust cooperation,…
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu +1
The domains of transport and logistics are increasingly relying on autonomous mobile robots for the handling and distribution of passengers or resources. At large system scales, fi…
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
Jan Blumenkamp, Amanda Prorok
Many real-world problems require the coordination of multiple autonomous agents. Recent work has shown the promise of Graph Neural Networks (GNNs) to learn explicit communication s…
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic
Matthew Le Maitre, Amanda Prorok
Interactions between road users are both highly non-linear and profoundly complex, and there is no reason to expect that interactions between autonomous vehicles will be any differ…
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Binyu Wang, Zhe Liu, Qingbiao Li +1
Path planning for mobile robots in large dynamic environments is a challenging problem, as the robots are required to efficiently reach their given goals while simultaneously avoid…