Ahn, Hongjoon

8 publications

NeurIPS 2025 Option-Aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning Hongjoon Ahn, Heewoong Choi, Jisu Han, Taesup Moon

ICLR 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon

ICML 2024 Listwise Reward Estimation for Offline Preference-Based Reinforcement Learning Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon

NeurIPS 2022 Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P Wipf

ICCV 2021 SS-IL: Separated SoftMax for Incremental Learning Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, Taesup Moon

NeurIPS 2020 Continual Learning with Node-Importance Based Adaptive Group Sparse Regularization Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon

UAI 2020 Iterative Channel Estimation for Discrete Denoising Under Channel Uncertainty Hongjoon Ahn, Taesup Moon

NeurIPS 2019 Uncertainty-Based Continual Learning with Adaptive Regularization Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon