Artificial Intelligence & Probabilistic Reasoning Lab
한국과학기술원 본교(제1캠퍼스) 김재철AI대학원
김기응 교수
Multi-Agent Systems
Reinforcement Learning
Bayesian Learning
발행물
전체 논문
130
11
특징조합 교란자 균형을 통한 인과정규화된 로지스틱 회귀 개선
서석인, 황형주, 양홍석, 김기응
KSC 2022, 2022
12
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
NeurIPS, 2022
13
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
NeurIPS, 2022
14
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Sanghoon Myung, In Huh, Wonik Jang, Jae Myung Choe, Jisu Ryu, Daesin Kim, Kee-Eung Kim, Changwook Jeong
ICML, 2022
15
Data Augmentation for Learning to Play in Text-Based Games
Jinhyeon Kim, Kee-Eung Kim
IJCAI, 2022
16
Learning to Embed Multi-Modal Contexts for Situated Conversational Agents
Haeju Lee, Oh Joon Kwon, Yunseon Choi, Minho Park, Ran Han, Yoonhyung Kim, Jinhyeon Kim, Youngjune Lee, Haebin Shin, Kangwook Lee, Kee-Eung Kim
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Findings, 2022
17
Tackling Situated Multi-Modal Task-Oriented Dialogs with a Single Transformer Model
Haeju Lee, Oh Joon Kwon, Yunseon Choi, Jinhyeon Kim, Youngjune Lee, Ran Han, Yoonhyung Kim, Minho Park, Kangwook Lee, Haebin Shin, Kee-Eung Kim
AAAI Conference on Artificial Intelligence (AAAI) DSTC10 Workshop, 2022
18
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
Sunghoon Hong, Deunsol Yoon, Kee-Eung Kim
International Conference on Learning Representations (ICLR), 2022
19
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
International Conference on Learning Representations (ICLR), 2022
20
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
International Conference on Learning Representations (ICLR), 2022