7 papers
Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers
Frederic Vatnsdal, Roshan Gopal, Romina Garcia Camargo +2
Large Language Models (LLMs) introduce an exciting new paradigm for planning and navigation in robotics, but fail on even simple multi-robot tasks as team sizes grow. We propose CO…
Scalability of Graph Neural Network Policies in Wireless Communication Networks
Romina Garcia Camargo, Zhiyang Wang, Alejandro Ribeiro
Graph Neural Networks (GNNs) offer scalable solutions for wireless resource allocation, yet existing formal performance guarantees across varying scales for spatial and sparse grap…
Long-Horizon Wireless Link Scheduling with State-Augmented Graph Neural Networks
Romina Garcia Camargo, Zhiyang Wang, Navid NaderiAlizadeh +1
We address optimal link scheduling in large-scale wireless networks. The goal is to schedule transmissions over a time horizon so that to maximize sum rate while ensuring that aver…
Limit Analysis of Graph Neural Networks with Wireless Conflict Graphs
Romina Garcia Camargo, Zhiyang Wang, Alejandro Ribeiro
Graph Neural Networks (GNNs) have emerged as a powerful tool for wireless resource allocation that leverages the underlying graph structure of communication networks. Their transfe…
Graph Neural Networks in Large Scale Wireless Communication Networks: Scalability Across Random Geometric Graphs
Romina Garcia Camargo, Zhiyang Wang, Alejandro Ribeiro
The growing complexity of wireless systems has accelerated the move from traditional methods to learning-based solutions. Graph Neural Networks (GNNs) are especially well-suited he…
Scalable Multi Agent Diffusion Policies for Coverage Control
Frederic Vatnsdal, Romina Garcia Camargo, Saurav Agarwal +1
We propose MADP, a novel diffusion-model-based approach for collaboration in decentralized robot swarms. MADP leverages diffusion models to generate samples from complex and high-d…