Hojoon Lee

Publications

Selected / All

FlashSAC: Fast and Stable Off-Policy RL for High-Dimensional Robot Control
Donghu Kim*, Youngdo Lee*, Minho Park, Kinam Kim, Takuma Seno,
I Made Aswin Nahrendra, Sehee Min, Daniel Palenicek, Florian Vogt,
Danica Kragic, Jan Peters, Jaegul Choo^†, Hojoon Lee^†.
Preprint.
project page / arXiv / code

3D HAMSTER: Hierarchical VLAs through 3D Trajectory Guidance
Dongyoon Hwang*, Byungkun Lee*, Dongjin Kim, Hyojin Jang, Hoiyeong Jin, Jueun Mun, Minho Park, Hojoon Lee, Hyunseung Kim, Jaegul Choo.
Preprint.
Coming Soon

RDA: Reward Design Agent for Reinforcement Learning
Hojoon Lee, Ajay Subramanian. Ben Abbatematteo, Pedro Matias, Vijay Veerabadran,
Karl Ridgeway, Nitin Kamra
Preprint.
Coming Soon

PHUMA: Physically-Grounded Humanoid Locomotion Dataset
Kyungmin Lee, Sibeen Kim, Minho Park, Hyunseung Kim, Dongyoon Hwang,
Hojoon Lee^†, Jaegul Choo^†.
Preprint.
project page / arXiv / code

ACG: Action Coherence Guidance for Flow-based VLA models
Minho Park*, Kinam Kim*, Junha Hyung, Hyojin Jang, Hoiyeong Jin, Jooyeol Yun,
Hojoon Lee^†, Jaegul Choo^†.
ICRA'26.
project page / arXiv / code

FIRE: Frobenius-Isometry Reinitialization for Balancing Stability-Plasticity Tradeoff
Isaac Han. Sangyeon Park, Seungwon Oh, Donghu Kim, Hojoon Lee^†, Kyungjoon Kim^†.
ICLR'26, Oral
arXiv

Maintaining Plasticity for Scalable Deep Reinforcement Learning
Hojoon Lee
Commitee: Jaegul Choo, Chulhee Yun, Kimin Lee, Clare Lyle, Peter Stone.
Thesis.
slide

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

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

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

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

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

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

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

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

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

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

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

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