Hojoon Lee

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Hello! I am a Ph.D student at KAIST AI, advised by Jaegul Choo.

My main interest lies in developing humanoid robots for assisting households and providing companionship. Unlike language or image models, teaching robots complex physical tasks is challenging due to limited human demonstration data.
I believe robots should learn through their own experiences using synthetic data generated by simulators and reinforcement learning (RL). Thus, my future research aims to develop RL algorithms that scale effectively, solve multiple tasks simultaneously, and transfer efficiently between tasks.

If you want to discuss anything; please feel free to reach me :)

Email  /  CV  /  Google Scholar  /  LinkedIn  /  Twitter  /  Github

profile photo
Publications
Selected / All
neurips2024dodont

A Champion‑level Vision‑based RL Agent for Competitive Racing in Gran Turismo 7
Hojoon Lee*, Takuma Seno*. Jun Jet Tai*, Kaushik Subramanian, Kenta Kawamoto, Peter R. Wurman, Peter Stone,
IEEE RA-L & ICRA'26.
arXiv / video

preprint2025simbav2

SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee*, Youngdo Lee*. Takuma Seno. Donghu Kim, Peter Stone, Jaegul Choo.
ICML'25, Spotlight
project page / arXiv / code

neurips2024dodont

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
Hojoon Lee*, Dongyoon Hwang*, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno.
ICLR'25, Spotlight
project page / arXiv / code

neurips2024dodont

Do's and Don'ts:Learning Desirable Skills with Instruction Videos
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo,
NeurIPS'24.
project page / arXiv

icml2024hnt

Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle.
ICML'24.
arXiv / poster / Bibtex

icml2024atari-pb

ATARI-PB: Investigating Pre-Training Objectives for Generalization in Vision-Based RL
Donghu Kim*, Hojoon Lee*, Kyungmin Lee*, Dongyoon Hwang, Jaegul Choo.
ICML'24.
project page / arXiv / poster / Bibtex

icml2024coin

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang*, Byungkun Lee*, Hojoon Lee, Hyunseung Kim, Jaegul Choo.
ICML'24.
project page / arXiv / Bibtex

neurips2023plastic

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Hojoon Lee*, Hanseul Cho*, Hyunseung Kim*, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun.
NeurIPS'23.
arXiv / code / slide / poster / Bibtex

neurips2023disco-dance

DISCO-DANCE: Learning to Discover Skills through Guidance
Hyunseung Kim*, Byungkun Lee*, Hojoon Lee, Dongyoon Hwang, Jaegul Choo.
NeurIPS'23.
project page / arXiv / code / Bibtex

icml2023simtpr

SimTPR: On the Importance of Feature Decorrelation for Unsupervised Representation Learning for Reinforcement Learning
Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo.
ICML'23.
arXiv / code / poster / Bibtex

sigir2022irs

Towards Validating Long-Term User Feedbacks in Interactive Recommender System
Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo.
SIGIR'22 (short), Honorable Mention
arXiv / poster / Bibtex

www2022draftrec

DraftRec: Personalized Draft Recommendation for Winning in MOBA Games
Hojoon Lee*, Dongyoon Hwang*, Hyunseung Kim, Byungkun Lee, Jaegul Choo.
WWW'22.
arXiv / code / poster / Bibtex


Work Experience
Sony AI Logo
Meta Reality Labs May 2025 - Current
Research Intern Seattle, USA
Krafton Logo
Krafton AI Feb 2025 - May 2025
Research Intern Seoul, Korea
Sony AI Logo
Sony AI Feb 2024 - Aug 2024
Research Intern Tokyo, Japan
Neowiz Logo
Kakao Enterprise Sep 2021 - Nov 2021
Research Intern Pangyo, Korea
Neowiz Logo
Neowiz Mar 2019 - Jun 2019
Research Intern Pangyo, Korea

Miscellaneous
Academic Services (Reviewer)
  • Neural Information Processing Systems (NeurIPS)'23-25
  • International Conference on Machine Learning (ICML)'24-25
  • International Conference on Learning Representation (ICLR)'24-25
  • Association for the Advancement of Artificial Intelligence (AAAI)'24
  • Conference on Lifelong Learning Agents (CoLLAs)'25
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)'25
Awards
  • Travel Award ($3,000 as awards), Crevisse Partners, 2023.
  • SIGIR Best Short Paper Honorable Mention, 2022.
  • Korea Government Full Scholarship ($10,000 per year), 2020, 2021.
  • Silver Prize ($2,000 as awards), Korea University Graduation Project, 2019.
  • College Scholarship ($4,000 as awards), Seongnam Scholarship Foundation, 2017.
  • General Paik Sun Yup Leadership Award , LTG Thomas.S.Vandal, U.S Army, 2017.
Talks

Template based on Jon Barron's website.