Kim, Donghu

5 publications

ICML 2025 Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo

ICLR 2025 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

NeurIPS 2024 Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo

ICML 2024 Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo

ICML 2024 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