Methods for autonomously decomposing and performing long-horizon sequential decision tasks

• المؤلف الرئيسي: Pateria, Shubham
• مؤلفون آخرون: Quek Hiok Chai
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/155182

Sequential decision-making over long timescales and in complex task environments is an important problem in Artificial Intelligence (AI). An effective approach to tackle this problem is to autonomously decompose a long-horizon task into a sequence of simpler subtasks or subgoals. We refer to this ap...