Artificial Intelligence & Probabilistic Reasoning Lab
한국과학기술원 본교(제1캠퍼스) 김재철AI대학원
김기응 교수
Multi-Agent Systems
Policy Optimization
Reinforcement Learning
발행물
전체 논문
130
61
Generative Local Metric Learning for Kernel Regression
Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim, Frank Park, Daniel Lee
Advances in Neural Information Processing Systems (NIPS), 2017
62
Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force
Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee, Il-Chul Moon
Proceedings of the IEEE Conference on System, Man, and Cybernetics (SMC), 2017
63
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim
ECML-PKDD Workshop on Scaling-Up Reinforcement Learning (SURL), 2017
64
대화력전 및 기계화 보병 시나리오를 통한 대규모 가상군의 POMDP 행동계획 및 학습 사례연구
이종민, 홍정표, 박재영, 이강훈, 김기응, 문일철, 박재현
정보과학회 컴퓨팅의 실제 논문지, 2017
65
Hierarchically-partitioned Gaussian Process Approximation
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
Proceedings of Artificial Intelligence and Statistics (AISTATS), 2017
66
Neural Dialog State Tracker for Large Ontologies by Attention Mechanism
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim
IEEE Workshop on Spoken Language Technology, 2016
67
Multi-View Automatic Lip-Reading using Neural Network
Daehyun Lee, Jongmin Lee, Kee-Eung Kim
ACCV 2016 Workshop on Multi-view Lip-reading Challenges, 2016
68
대규모 가상군의 POMDP 행동계획 및 학습 사례연구
홍정표, 이종민, 이강훈, 한상규, 김기응, 문일철, 박재현
한국정보과학회 하계학술발표회 논문집, 2016
69
Multi-armed Bandit을 이용한 요격 무장 할당 문제의 확률적인 접근
홍택규, 김건형, 이병준, 김기응
한국정보과학회 하계학술발표회 논문집, 2016
70
Bayesian Reinforcement Learning with Behavioral Feedback
Teakgyu Hong, Jongmin Lee, Kee-Eung Kim, Pedro A. Ortega, Daniel Lee
Proceedings of the International Joint Conference on Arti,