Seungyub Han

Orcid: 0009-0001-8704-8968

According to our database¹, Seungyub Han authored at least 13 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Seungyub Han

Hyungjin Kim

Jungwoo Lee

CoRR, April, 2026

Learning graph based individual intrinsic reward for multi-agent reinforcement learning.

[BibT_eX]

[DOI]

ICT Express, 2026

2025

Deterministic Uncertainty Estimation for Multi-Modal Regression With Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2025

Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Policy-labeled Preference Learning: Is Preference Enough for RLHF?

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Jungeun Lee

Seungyub Han

Jungwoo Lee

IEEE Access, 2024

Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees.

[BibT_eX]

[DOI]

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

2023

Learning to Learn Unlearned Feature for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

On the Convergence of Continual Learning with Adaptive Methods.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Seungyub Han

Timeline

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Links

On csauthors.net:

Bibliography

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