USN: a robust imitation learning method against diverse action noise

• Main Authors: Yu, Xingrui, Han, Bo, Tsang, Ivor Wai-Hung
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Computer and Information Science; Learning methods; Realistic scenario
• 在線閱讀: https://hdl.handle.net/10356/179928
• 機構: Nanyang Technological University

Learning from imperfect demonstrations is a crucial challenge in imitation learning (IL). Unlike existing works that still rely on the enormous effort of expert demonstrators, we consider a more cost-effective option for obtaining a large number of demonstrations. That is, hire annotators to label a...