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title
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2026-01-23 17:44:43
raw text
Primitive Skill-Based Robot Learning from Human Evaluative Feedback Primitive Skill-Based Robot Learning from Human Evaluative Feedback IROS 2023 Ayano Hiranaka 1† , Minjune Hwang 2† , Sharon Lee 2 , Chen Wang 2 , Li Fei-Fei 2,3 , Jiajun Wu 2,3 , Ruohan Zhang 2 1 Department of Mechanical Engineering, 2 Department of Computer Science, 3 Institute of Human-Centered Artificial Intelligence (HAI) Stanford University † Equal contribution, alphabetically ordered arXiv PDF Poster Code (comming soon!) Evaluation without Execution: SEED enables safe and sample-efficient learning in the real world by leveraging a skill-based action space. With this intuitive representation, humans can evaluate robot actions even before they are executed. Here, the next goal is to pick up the broom. Human evaluates robot's action choice purely fro...
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