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Journal Articles
- 2024
[j1]Jungeun Lee
, Seungyub Han, Jungwoo Lee:
D2NAS: Efficient Neural Architecture Search With Performance Improvement and Model Size Reduction for Diverse Tasks. IEEE Access 12: 127074-127085 (2024)
Conference and Workshop Papers
- 2023
- [c3]Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee:
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion. NeurIPS 2023 - [c2]Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee:
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning. NeurIPS 2023 - [c1]Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee:
On the Convergence of Continual Learning with Adaptive Methods. UAI 2023: 809-818
Informal and Other Publications
- 2024
- [i6]Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee:
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning. CoRR abs/2401.03137 (2024) - [i5]Seungyub Han, Yeongmo Kim, Taehyun Cho, Jungwoo Lee:
On the Convergence of Continual Learning with Adaptive Methods. CoRR abs/2404.05555 (2024) - [i4]Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh:
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees. CoRR abs/2405.18698 (2024) - [i3]Taehyun Cho, Seungyub Han, Kyungjae Lee, Seokhun Ju, Dohyeong Kim, Jungwoo Lee:
Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation. CoRR abs/2407.21260 (2024) - 2023
- [i2]Seungyub Han, Yeongmo Kim, Seokhyeon Ha, Jungwoo Lee, Seunghong Choi:
Learning to Learn Unlearned Feature for Brain Tumor Segmentation. CoRR abs/2305.08878 (2023) - [i1]Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee:
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion. CoRR abs/2310.16546 (2023)
Coauthor Index
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