research
∙
08/01/2022
Learning to Navigate using Visual Sensor Networks
We consider the problem of navigating a mobile robot towards a target in...
share
research
∙
07/07/2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
While many multi-robot coordination problems can be solved optimally by ...
research
∙
11/02/2021
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies
Graph Neural Networks (GNNs) are a paradigm-shifting neural architecture...
research
∙
07/26/2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
Many multi-robot planning problems are burdened by the curse of dimensio...
research
∙
12/01/2020
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication
In this paper, we consider the problem of providing robustness to advers...
research
∙
08/06/2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
Many real-world problems require the coordination of multiple autonomous...
research
∙
11/06/2019
End to end collision avoidance based on optical flow and neural networks
Optical flow is believed to play an important role in the agile flight o...
research
∙
11/04/2019
