| 2025 | ICLR | 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 |
| 2024 | ICML | Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control. | Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo |
| 2024 | ICML | Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning. | Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo |
| 2023 | ICML | On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning. | Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo |
| 2022 | WWW | DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. | Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo |
| 2022 | SIGIR | Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. | Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo |