Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...
Abstract: Humanoid robots are increasingly deployed in complex environments, where achieving stable and robust locomotion remains a major challenge due to model uncertainties, payload variations, and ...