Robust motion planning for multi-robot systems against position deception attacks

• المؤلفون الرئيسيون: Tang, Wenbing, Zhou, Yuan, Liu, Yang, Ding, Zuohua, Liu, Jing
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Deep reinforcement learning; Denoising autoencoder
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/176231
• المؤسسة: Nanyang Technological University

Deep reinforcement learning (DRL) is widely applied in motion planning for multi-robot systems as DRL leverages the offline training process to improve the real-time computation efficiency. In DRL-based methods, the DRL models compute an action for a robot based on the states of its surrounding obst...