Department of Electrical and Computer Engineering
Seoul National University
1 Gwanak-ro, Gwanak-gu
Seoul 08826, Korea
Office: Building 133 Room 610
Phone: +82-2-880-1512
Email: junseok.kim (at) rllab.snu.ac.kr
Personal website
Junseok Kim

Junseok is a Ph.D. student in the Department of Electrical and Computer Engineering at Seoul National University, Korea. He received a B.S. degree in the Department of Electrical and Computer Engineering from Seoul National University, South Korea in 2022. His research interests include robotics, reinforcement learning, and representation learning.
Publications
- Junseok Kim, Dohyeong Kim, Mineui Hong, and Songhwai Oh, "Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning," in Proc. of the International Conference on Machine Learning (ICML), Jul. 2026. (Accepted)
- Geunje Cheon, Junseok Kim, Gunmin Lee, Subin Shin, Jeongho Park, Jaewon Lee, Hyeokjin Kwon, and Songhwai Oh, "Multi-Agent Tsallis Actor-Critic for Autonomous Vehicle Fleet Coordination on Road Graph Networks," in Proc. of the International Conference on Control, Automation and Systems (ICCAS), Nov. 2025.
- Dohyeong Kim*, Hyeokjin Kwon*, Junseok Kim, Gunmin Lee, and Songhwai Oh, "Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach," in Proc of the IEEE International Conference on Robotics and Automation (ICRA), May 2025.
- Minjae Kang, Hogun Kee, Yoseph Park, Junseok Kim, Jaeyeon Jeong, Geunje Cheon, Jaewon Lee, and Songhwai Oh, "Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024.
- Minjae Kang, Junseok Kim, Hogun Kee, and Songhwai Oh, "Object Rearrangement Planning for Target Retrieval in a Confined Space with Lateral View," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2023.
- Minjae Kang, Hogun Kee, Junseok Kim, and Songhwai Oh, "Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.
Research experiences
Teaching experiences
- Teaching Assistant
- Theory and Lab of IoT, AI, and Big Data (M2177.004900)
- Introduction to Intelligent Systems (430.457)
- Autonomous Driving:Theory and Practices (M3621.000300)
Fall 2022, Spring 2023, Fall 2023
Fall 2023
Fall 2024
