Personalized robotic control via constrained multi-objective reinforcement learning

• المؤلفون الرئيسيون: He, Xiangkun, Hu, Zhongxu, Yang, Haohan, Lv, Chen
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering::Mechanical engineering; Reinforcement Learning; Multi-Objective Optimization
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173290
• المؤسسة: Nanyang Technological University

Reinforcement learning is capable of providing state-of-art performance in end-to-end robotic control tasks. Nevertheless, many real-world control tasks necessitate the balancing of multiple conflicting objectives while simultaneously ensuring that the learned policies adhere to constraints. Additio...