Aligning Human Intent From Imperfect Demonstrations With Confidence-Based Inverse Soft-Q Learning
Author:
Affiliation:
1. School of Astronautics, Northwestern Polytechnical University, Xi'an, China
Funder
National Natural Science Foundation of China
Aerospace Flight Dynamics Technology Key Laboratory Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7083369/10561888/10569029.pdf?arnumber=10569029
Reference33 articles.
1. Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
2. What matters in learning from offline human demonstrations for robot manipulation;Mandlekar,2022
3. Imitation learning by estimating expertise of demonstrators;Beliaev,2022
4. Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity
5. VILD: Variational imitation learning with diverse-quality demonstrations;Tangkaratt,2020
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