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…