5 papers
Human-Inspired Pavlovian and Instrumental Learning for Autonomous Agent Navigation
Jingfeng Shan, Francesco Guidi, Mehrdad Saeidi +8
Autonomous agents operating in uncertain environments must balance fast responses with goal-directed planning. Classical MF RL often converges slowly and may induce unsafe explorat…
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…
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…
AREE-Based Decoupled Design of Hybrid Beamformers in mmWave XL-MIMO Systems
Jiazhe Li, Nicolò Decarli, Francesco Guidi +4
Hybrid beamforming has been widely employed in mmWave communications such as vehicular-to-everything (V2X) scenarios, as a compromise between hardware complexity and spectral effic…