Giseung Park, Woohyeon Byeon, Seongmin Kim, Elad Habakuk, Amir Leshem and Youngchul Sung*, “The max-min formulation of multi-objective reinforcement learning: From theory to a model-free algorithm,” International Conference on Machine Learning (ICML) 2024
Myungsik Cho, Jongeui Park, Suyoung Lee and Youngchul Sung*, “Hard task first: Multi-task reinforcement learning through task scheduling,” International Conference on Machine Learning (ICML) 2024
Jeonghye Kim, Suyoung Lee, Woojun Kim*, and Youngchul Sung*, “Decision convformer: Local filtering in metaformer is sufficient for decision making,” International Conference on Learning Representations (ICLR) , May 2024
Woojun Kim+, Yongjae Shin+, Jongeui Park, and Youngchul Sung, “Sample-efficient and safe deep reinforcement learning via reset deep ensemble agents,” Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 2023 (+Equal contribution)
Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, and Youngchul Sung, “Domain adaptive imitation learning with visual observation,” Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 2023
Suyoung Lee, Myungsik Cho, and Youngchul Sung, “Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition, Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, Dec. 2023
