Hojoon Lee

Publications

Selected / All

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

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

FIRE: Frobenius-Isometry Reinitialization for Balancing Stability-Plasticity Tradeoff
Isaac Han. Sangyeon Park, Seungwon Oh, Donghu Kim, Hojoon Lee, Kyungjoon Kim.
Preprint.
arXiv

Unleashing the Architectural Potential of RL in Visual Continuous Control
Donghu Kim, Youngdo Lee, Hojoon Lee, Johan Obando Ceron, Byungkun Lee,
Aaron Courville, Pablo Samuel Castro, Jaegul Choo, Clare Lyle.
Preprint.
arXiv

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.
Preprint.
project page / arXiv / code

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