성영철

Sung, Youngchul

연구디비젼

Communication

, Computer

division

주요 연구분야

AI & Machine Learning, Information, Communication, & Coding

주요 연구

Signal Processing, Statistical Inference, Reinforcement Learning

소속연구실

스마트 정보 시스템 연구실

위치

IT융합빌딩 (N1)

614

연락처

3484

이메일

ycsung@kaist.ac.kr

웹사이트

https://sites.google.com/view/sisrelkaist

학위

Ph.D. (2005) Cornell University, Ithaca, NY

대표업적

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