Junsu Kim

20212022202319 47 41

Jinwoo ShinKAIST Endowed Chair ProfessorVerified email at kaist.ac.kr
Sungsoo AhnPOSTECHVerified email at postech.ac.kr
Younggyo SeoResearch Scientist, Dyson Robot Learning LabVerified email at kaist.ac.kr
Hankook LeePhD Student, KAIST EEVerified email at kaist.ac.kr
Kimin LeeResearch Scientist, GoogleVerified email at google.com
Kyunghwan SonKAISTVerified email at kaist.ac.kr
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Stephen JamesDyson Robot Learning LabVerified email at dyson.com
Yung YiProfessor of Electrical Engineering, KAISTVerified email at kaist.edu
Jaehyun NamM.S. student, KAISTVerified email at kaist.ac.kr
Seojin KimKAISTVerified email at kaist.ac.kr
Changyeon KimPhD student, KAISTVerified email at kaist.ac.kr
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu

Junsu Kim

Ph.D. student, KAIST

Verified email at kaist.ac.kr - Homepage


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Guiding deep molecular optimization with genetic exploration S Ahn, J Kim, H Lee, J Shin Advances in Neural Information Processing Systems 33, 2020	50	2020
Landmark-guided subgoal generation in hierarchical reinforcement learning J Kim, Y Seo, J Shin Advances in Neural Information Processing Systems 34, 2021	29	2021
Self-Improved Retrosynthetic Planning J Kim, S Ahn, H Lee, J Shin International Conference on Machine Learning, 2021	14	2021
Multi-View Masked World Models for Visual Robotic Manipulation Y Seo, J Kim, S James, K Lee, J Shin, P Abbeel International Conference on Machine Learning, 2023	7	2023
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning K Son, J Kim, S Ahn, RDD Reyes, Y Yi, J Shin International Conference on Machine Learning, 2022	4	2022
Imitating Graph-Based Planning with Goal-Conditioned Policies J Kim, Y Seo, S Ahn, K Son, J Shin The Eleventh International Conference on Learning Representations, 2023	2	2023
Fragment-based Multi-view Molecular Contrastive Learning S Kim, J Nam, J Kim, H Lee, S Ahn, J Shin Workshop on''Machine Learning for Materials''ICLR 2023, 2023	1	2023
Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization C Kim, J Kim, Y Seo, K Lee, H Lee, J Shin 3rd Offline RL Workshop: Offline RL as a ''Launchpad'', 2022		2022

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