Seungyub Han

According to our database, Seungyub Han authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation.

Taehyun Cho, Seungyub Han, Kyungjae Lee, Seokhun Ju, Dohyeong Kim, Jungwoo Lee

CoRR, 2024

Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees.

Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh

CoRR, 2024

D2NAS: Efficient Neural Architecture Search With Performance Improvement and Model Size Reduction for Diverse Tasks.

Jungeun Lee, Seungyub Han, Jungwoo Lee

IEEE Access, 2024

2023

Learning to Learn Unlearned Feature for Brain Tumor Segmentation.

Seungyub Han, Yeongmo Kim, Seokhyeon Ha, Jungwoo Lee, Seunghong Choi

CoRR, 2023

On the Convergence of Continual Learning with Adaptive Methods.

Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee

Proceedings of the Uncertainty in Artificial Intelligence, 2023

SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning.

Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.

Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023