Haeone Lee

haeone.lee@kaist.ac.kr

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📍 Seoul, Korea

I am a master student in KAIST Graduate school of AI, advised by Prof. Kimin Lee.

I am interested in robot learning. I aim to develop a method that can extract behavioral rules from existing data efficiently and help the agent continuously self-improve. Relevant topics include imitation learning from various data sources and scalable reinforcement learning (RL) algorithms that can work in real robots.

2026

  1. Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning
    Haeone Lee, Taywon Min, Junsu Kim, Singjae Kang, Fangchen Liu, Lerrel Pinto, and Kimin Lee
    ICRA 2026
  2. DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
    Changyeon Kim, Haeone Lee, Younggyo Seo, Kimin Lee, and Yuke Zhu
    ICLR 2026
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2025

  1. Understanding Impact of Human Feedback via Influence Functions
    Taywon Min, Haeone Lee, Yongchan Kwon, and Kimin Lee
    ACL 2025 (Main)
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2024

  1. Benchmarking Mobile Device Control Agents across Diverse Configurations
    Juyong Lee, Taywon Min, Minyong An, Dongyoon Hahm, Haeone Lee, Changyeon Kim, and Kimin Lee
    CoLLAs 2025
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