Dongwook Lee
Hi! I’m a undergraduate student at Seoul National University advised by Gunhee Kim. I’m deeply interested in guiding agents to survive in uncertain environments and constructing RL foundation model. I am currently focusing on training or guiding agents with prior knowledge of existing foundation models, like VLMs.
Email /
CV (deactivated for a while) /
Twitter /
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Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
Yeda Song*,
Dongwook Lee*,
Gunhee Kim
ICLR, 2024
Openreview
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arXiv
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CODE
COCOA is a novel approach in offline reinforcement learning (RL) that promotes compositional conservatism by breaking down the input state into an anchor and its deviation. It utilizes a learned reverse dynamics model to ensure both the anchors and differences align with in-distribution data, thereby mitigating OOD problem in the input space used by policies or value functions.
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Education
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Seoul National University | Seoul, Korea
B.S. in Naval Architecture and Ocean Engineering
B.S. in Computer Science
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Mar. 2016 - Present
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Peking University | Beijing, China
Exchange Student in Engineering College
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Jan. 2022 - Jan. 2023
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Experience
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Seoul National University Vision & Learning Lab | Seoul, Korea
Intern Researcher in Reinforcement Learning
RL foundation model and offline RL.
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Jan. 2023 - Present
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Peking University | Beijing, China
Intern Researcher in Multimodal Domain
Fine-grained classification on sound, image, and text modalities.
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Oct. 2022 - Jan. 2023
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Seoul National University Semi-Conductor for AI Laboratory | Seoul, Korea
Remote Exam Supervision Program Team Intern
An Android application for real-time exam supervision.
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Sep. 2021 - Dec. 2021
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Daewoo ShipBuilding & Marine Engineering | Siheung, Korea
Propulsion Design R&D Team Intern
Rendering a propeller model for a commercial container ship with C++.
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Jul. 2020 - Aug. 2020
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Military Service | Air-force, Korea
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Jan. 2018 - Dec. 2019
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Corporate Projects
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Edutech Research Institute, Woongjin CoE | Seoul, Korea
Enhancing children's concentration by recognizing speech(TTS) from audiobooks and highlighting corresponding text on the book using optical character recognition (OCR).
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Jan. 2023 - Dec. 2023
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Feel free to clone the format from here.
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