Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition

no code implementations • 19 Nov 2023 • Zihao Liu, Xing Liu, Yizhai Zhang, Zhengxiong Liu, Panfeng Huang

In this study, we propose a novel method for skill learning in robotic manipulation called Tactile Active Inference Reinforcement Learning (Tactile-AIRL), aimed at achieving efficient training.

reinforcement-learning Reinforcement Learning (RL)