Seokhun Ju

According to our database, Seokhun Ju authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction.

Jung Min Lee, Dohyeok Lee, Seokhun Ju, Taehyun Cho, Jin Woo Koo, Li Zhao, Sangwoo Hong, Jungwoo Lee

CoRR, February, 2026

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

Seokhun Ju, Seungyub Han, Taehyun Cho, Jungwoo Lee, Taeyoung Lee, Minkyoung Kim, Jinho An

ICT Express, 2026

2025

Learning Generalizable Visuomotor Policy through Dynamics-Alignment.

Dohyeok Lee, Jung Min Lee, Munkyung Kim, Seokhun Ju, Jin Woo Koo, Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Jungwoo Lee

CoRR, October, 2025

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

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

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

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

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

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

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