Curriculum learning for robotic agents

• 主要作者: Kurkcu, Anil
• 其他作者: Domenico Campolo
• 格式: Thesis-Doctor of Philosophy
• 語言: English
• 出版: Nanyang Technological University 2022
• 主題: Engineering::Mechanical engineering::Robots; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: https://hdl.handle.net/10356/160311

Model-free deep RL algorithms, rooted in the concept of tabula rasa, suffer from poor sample efficiency, which is a major drawback for these methods to be applicable to real-world robotics problems. To improve sample efficiency, curriculum learning leverages prior knowledge in a way to solve diff...