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

• 主要作者: Pateria, Shubham
• 其他作者: Quek Hiok Chai
• 格式: Thesis-Doctor of Philosophy
• 語言: English
• 出版: Nanyang Technological University 2022
• 主題: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: 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...