Jongmin Lee

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Kee-Eung KimKAISTVerified email at kaist.ac.kr
Youngsoo JangKAISTVerified email at ai.kaist.ac.kr
Geon-Hyeong KimSchool of Computing, KAISTVerified email at ai.kaist.ac.kr
Byung-Jun LeeKAISTVerified email at kaist.ac.kr
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Wonseok JeonMila/McGill UniversityVerified email at mila.quebec
Pierre LisonSenior Research Scientist, Norsk RegnesentralVerified email at nr.no
Pedro A. OrtegaGoogle - DeepMindVerified email at google.com
Daniel D. LeeTisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung ResearchVerified email at alum.mit.edu
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAISTVerified email at kaist.ac.kr
Kanghoon LeeT-Brain, SK telecomVerified email at sktbrain.com
Jang Won BaeSchool of Industrial Management, Korea University of Technology and EducationVerified email at koreatech.ac.kr
Dongho KimPROWLER.ioVerified email at prowler.io
Hongseok YangProfessor, School of Computing, KAISTVerified email at kaist.ac.kr

Jongmin Lee

KAIST

Verified email at ai.kaist.ac.kr - Homepage

Machine Learning Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multi-view automatic lip-reading using neural network D Lee, J Lee, KE Kim Asian conference on computer vision, 290-302, 2016	30	2016
Monte-Carlo Tree Search for Constrained POMDPs J Lee, GH Kim, P Poupart, KE Kim NeurIPS, 2018	16	2018
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming J Lee, Y Jang, P Poupart, KE Kim IJCAI, 2088-2095, 2017	8	2017
Hierarchically-partitioned Gaussian Process Approximation BJ Lee, J Lee, KE Kim Artificial Intelligence and Statistics (AISTATS), 822-831, 2017	7	2017
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues Y Jang, J Lee, KE Kim AAAI, 2020	4	2020
PyOpenDial: a python-based domain-independent toolkit for developing spoken dialogue systems with probabilistic rules Y Jang, J Lee, J Park, KH Lee, P Lison, KE Kim Proceedings of the 2019 conference on empirical methods in natural language …, 2019	4	2019
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients J Lee, W Jeon, GH Kim, KE Kim AAAI, 2020	2	2020
Bayesian Reinforcement Learning with Behavioral Feedback. T Hong, J Lee, KE Kim, PA Ortega, DD Lee IJCAI, 1571-1577, 2016	2	2016
Representation balancing offline model-based reinforcement learning BJ Lee, J Lee, KE Kim International Conference on Learning Representations (ICLR), 2021	1	2021
Monte-carlo planning and learning with language action value estimates Y Jang, S Seo, J Lee, KE Kim International Conference on Learning Representations (ICLR), 2021	1	2021
Reinforcement Learning for Control with Multiple Frequencies J Lee, BJ Lee, KE Kim Advances in Neural Information Processing Systems (NeurIPS) 33, 2020	1	2020
Batch Reinforcement Learning with Hyperparameter Gradients BJ Lee, J Lee, P Vrancx, D Kim, KE Kim ICML, 2020	1	2020
Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement JW Bae, J Lee, DH Kim, K Lee, J Lee, KE Kim, IC Moon IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (7), 2551-2565, 2018	1	2018
Trust Region Sequential Variational Inference GH Kim, Y Jang, J Lee, W Jeon, H Yang, KE Kim Asian Conference on Machine Learning (ACML), 1033-1048, 2019		2019

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