My name is Guhyeon Kang.
I'm a graduate student in Brain and Machine Intelligence Lab. (BMIL), Sunkyunkwan University, Suwon, Republic of Korea
My reserch topic is Reinforcement Learning. In detail, the decision-making system for autonomous driving.
Deep Reinforcement Learning
Multi agent RL
Offline RL
Autonomous Driving
Sunkyunkwan University, Suwon, Republic of Korea
M.S., Dept. of Electrical and Computer Engineering (Mar. 2026~Present)
Soongsil University, Republic of Korea
M.S., Department of Intelligent Semiconductors (Mar. 2025 – Feb. 2026)
B.S., School of Electronic Engineering (Mar. 2018 ~ Feb. 2025)
[2026.09] Our paper "Variance-Averse n-Step Offline Reinforcement Learning for Sparse Long-Horizon Environments " has been accepted to the Advances in Neural Information Processing Systems (NeurIPS 2026) .
[2026.08] Our paper "Simple Actors and Deep Critics for Scalable Reinforcement Learning" has been accepted to the ACM International Conference on Information and Knowledge Management (CIKM 2026).
[2026.08] Our domestic journal article "Trends in UAV Swarm AI Technology: From the Perspective of AI Advancement and the Evolution of Multi-Agent Architectures" has been published in the Journal of the Korean Institute of Communications and Information Sciences (KICS).
[2026.07] Our workshop paper "Improving Multi-Agent Coordination with a Drift-Aware RL Objective" has been accepted to the ICML 2026 Workshop on Decision-Making from Offline Datasets to Online Adaptation.
[2026.04] Our domestic conference paper "Multi-step Offline Distributional Reinforcement Learning for UAV Command Decision-Making in Modern Battlefields" has been presented at the Joint Conference on Communications and Information (JCCI 2026).
[2025.06] Our domestic journal article "Offline Reinforcement Learning Based Autonomous Driving on Complex Roads with On-Ramp Merging and Bottleneck," has been published to The Transactions of the Korean Society Automotive Engineers (T-KSAE).
[2024.11] Won the Top Excellence Award of Soongsil Patent Competition, Soongsil University.
[2024.11] Our domestic conference paper "Deep Reinforcement Learning Based Autonomous Driving Strategy for On-Ramp Merging and Bottleneck Traffic Scenarios" has been chosen as the best paper in the Korean Society of Automotive Engineers (KSAE).
[2024.11] Our domestic conference paper "Autonomous Driving Strategy Using Offline Reinforcement Learning with Diverse Quality Driving Datasets" has been chosen as the best paper in the Korean Society of Automotive Engineers (KSAE).
[2024.10] Won the Dean's Award in the Senior Design Competition at Soongsil University.
[2024.08] Won the Encouragement Award in the 2024 University Student Deep Learning-Based AI Competition for Unmanned Store Product Recognition, Seoul National University
[2024.06] Won the Corporate Sponsorship Award in Undergraduate Idea Competition, (KICS)
[2024.06] Won the Encouragement Award in the Undergraduate Paper Competition, (KICS)
[2018.03.] Undergraduate Admission, Department of Electronics and Electrical Engineering, Soongsil University, Seoul, South Korea.