4 papers
A Cognitive Framework for Autonomous Agents: Toward Human-Inspired Design
Francesco Guidi, Jingfeng Shan, Mehrdad Saeidi +8
This work introduces a human-inspired reinforcement learning (RL) architecture that integrates Pavlovian and instrumental processes to enhance decision-making in autonomous systems…
Model Proficiency in Centralized Multi-Agent Systems: A Performance Study
Anna Guerra, Francesco Guidi, Pau Closas +2
Autonomous agents are increasingly deployed in dynamic environments where their ability to perform a given task depends on both individual and team-level proficiency. While profici…
Scalable RIS-Aided Beamforming Strategies for Near-Field MU-MISO via Multi-Antenna Feeder
Giulia Torcolacci, Malte Schellmann, Davide Dardari
This paper investigates a modular beamforming framework for reconfigurable intelligent surface (RIS)-aided multi-user (MU) communications in the near-field regime, built upon a nov…
Extremely Large-Scale Dynamic Metasurface Antennas for 6G Near-Field Networks: Opportunities and Challenges
Haiyang Zhang, Nir Shlezinger, Giulia Torcolacci +6
6G networks will need to support higher data rates, high-precision localization, and imaging capabilities. Near-field technologies, enabled by extremely large-scale (XL)-arrays, ar…