SPRINQL : Sub-optimal demonstrations driven offline imitation learning

• Main Authors: HOANG, Minh Huy, MAI, Tien, VARAKANTHAM, Pradeep
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Sup-optimal demonstrations; Imitation learning; Inverse Q learning; Reinforcement learning; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/9821; https://ink.library.smu.edu.sg/context/sis_research/article/10821/viewcontent/Neurips_2024___SPRINQL.pdf
• Institution: Singapore Management University

We focus on offline imitation learning (IL), which aims to mimic an expert's behavior using demonstrations without any interaction with the environment. One of the main challenges in offline IL is the limited support of expert demonstrations, which typically cover only a small fraction of the s...