Handling long and richly constrained tasks through constrained hierarchical reinforcement learning

• Main Authors: LU, Yuxiao, SINHA, Arunesh, VARAKANTHAM, Pradeep
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: Artificial Intelligence and Robotics; Databases and Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/8595; https://ink.library.smu.edu.sg/context/sis_research/article/9598/viewcontent/handling_long.pdf

Safety in goal directed Reinforcement Learning (RL) settings has typically been handled through constraints over trajectories and have demonstrated good performance in primarily short horizon tasks. In this paper, we are specifically interested in the problem of solving temporally extended decision...