Artificial Intelligence & Probabilistic Reasoning Lab
한국과학기술원 본교(제1캠퍼스) 김재철AI대학원
김기응 교수
Bayesian Learning
Policy Optimization
Multi-Agent Systems
발행물
전체 논문
130
41
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
42
몬테 카를로 목표를 위한 분산 감소 방법
김건형, 장영수, 이종민, 김기응
한국통신학회 하계종합학술발표회, 2019
43
연속 행동공간에서의 몬테-카를로 트리 탐색에 관한 연구
이종민, 김건형, 김기응
한국통신학회 하계종합학술발표회, 2019
44
An Improved Particle Filter With a Novel Hybrid Proposal Distribution for Quantitative Analysis of Gold Immunochromatographic Strips
Nianyin Zeng, Zidong Wang, Hong Zhang, Kee-Eung Kim, Yurong Li, Xiaohui Liu
IEEE Transactions on Nanotechnology, 2019
45
A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization
Yung-Kyun Noh, Ji Young Park, Byoung Geol Choi, Kee-Eung Kim, Seung-Woon Rha
Journal of Medical Systems, 2019
46
Trust Region Sequential Variational Inference
Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim
Asian Conference on Machine Learning (ACML), 2019
47
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
Youngsoo Jang*, Jongmin Lee*, Jaeyoung Park*, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim
Empirical Methods in Natural Language Processing (EMNLP) System Demonstrations, 2019
48
강화학습을 이용한 초고속비행체 제어기 학습
강민구, 김기응
한국군사과학기술학회 종합학술대회, 2019
49
Bayesian optimistic Kullback-Leibler exploration
Kanghoon Lee, Geon-Hyeong Kim, Pedro Ortega, Daniel D. Lee, Kee-Eung Kim
Machine Learning Journal (MLJ), 2019
50
모델 기반 베이지안 강화학습의 연속된 도메인으로의 확장에 대한 연구
김건형, 장영수, 이종민, 김기응
한국통신학회 하계종합학술발표회 논문집, 2018