Geon-Hyeong Kim
Geon-Hyeong Kim
School of Computing, KAIST
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Cited by
Cited by
Monte-Carlo Tree Search for Constrained POMDPs.
J Lee, GH Kim, P Poupart, KE Kim
NeurIPS, 7934-7943, 2018
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
J Lee, W Jeon, GH Kim, KE Kim
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4561-4568, 2020
Variational Inference for Sequential Data with Future Likelihood Estimates
GH Kim, Y Jang, H Yang, KE Kim
International Conference on Machine Learning, 5296-5305, 2020
Variational Interaction Information Maximization for Cross-domain Disentanglement
HJ Hwang, GH Kim, S Hong, KE Kim
Advances in Neural Information Processing Systems 33, 2020
Trust Region Sequential Variational Inference
GH Kim, Y Jang, J Lee, W Jeon, H Yang, KE Kim
Asian Conference on Machine Learning, 1033-1048, 2019
Bayesian optimistic Kullback–Leibler exploration
K Lee, GH Kim, P Ortega, DD Lee, KE Kim
Machine Learning 108 (5), 765-783, 2019
모델 기반 베이지안 강화학습의 연속된 도메인으로의 확장에 대한 연구
김건형, 장영수, 이종민, 김기응
한국통신학회 학술대회논문집, 332-333, 2018
제약조건이 있는 베이지안 Multi-armed Bandit 문제를 이용한 요격 무장 할당 문제 모델링
김건형, 이병준, 김기응
한국정보과학회 학술발표논문집, 642-644, 2016
Multi-armed Bandit 을 이용한 요격 무장 할당 문제의 확률적인 접근
홍택규, 김건형, 이병준, 김기응
한국정보과학회 학술발표논문집, 839-841, 2016
계층형 모델링을 통한 순차적 무장 할당 문제의 효과적인 접근
홍택규, 이병준, 김건형, 김기응
한국정보과학회 학술발표논문집, 713-715, 2015
Monte Carlo Tree Search in Continuous Action Spaces with Value Gradients Download PDF
J Lee, W Jeon, GH Kim, KE Kim
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