Donghu Kim

According to our database, Donghu Kim authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control.

Donghu Kim, Youngdo Lee, Minho Park, Kinam Kim, I Made Aswin Nahendra, Takuma Seno, Sehee Min, Daniel Palenicek, Florian Vogt, Danica Kragic, Jan Peters, Jaegul Choo, Hojoon Lee

CoRR, April, 2026

FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability-Plasticity Tradeoff.

Isaac Han, Sangyeon Park, Seungwon Oh, Donghu Kim, Hojoon Lee, Kyung-Joong Kim

CoRR, February, 2026

2025

Dynamic Mixture of Experts Against Severe Distribution Shifts.

Donghu Kim

CoRR, November, 2025

Hyperspherical Normalization for Scalable Deep Reinforcement Learning.

Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information.

Hojun Cho, Donghu Kim, Soyoung Yang, Chan Lee, Hunjoo Lee, Jaegul Choo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Do's and Don'ts: Learning Desirable Skills with Instruction Videos.

Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning.

Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo

Proceedings of the Forty-first International Conference on Machine Learning, 2024