2 papers
cs.MA2026
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…
eess.SY2026
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…