Kim, Dohyeong

10 publications

ICML 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

ICLR 2025 Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh

NeurIPS 2025 Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Chaeyeon Kim, Yunkyung Ko, Seungyub Han, Seokhun Ju, Dohyeok Lee, Sungbin Lim

ICML 2025 Policy-Labeled Preference Learning: Is Preference Enough for RLHF? Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee

NeurIPS 2024 Adversarial Environment Design via Regret-Guided Diffusion Models Hojun Chung, Junseo Lee, Minsoo Kim, Dohyeong Kim, Songhwai Oh

ECCVW 2024 Compressed Depth mAP Super-Resolution and Restoration: AIM 2024 Challenge Results Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua

NeurIPS 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh

CVPRW 2024 The Third Monocular Depth Estimation Challenge Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder

NeurIPS 2023 Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim, Kyungjae Lee, Songhwai Oh

ICCVW 2019 FaceSyncNet: A Deep Learning-Based Approach for Non-Linear Synchronization of Facial Performance Videos Yoonjae Cho, Dohyeong Kim, Edwin Truman, Jean-Charles Bazin