Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules. - Kyunghoon Cho; Timothy Ha; Gunmin Lee; Songhwai Oh (IROS, 2019)

MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. - Gunmin Lee; Dohyeong Kim; Wooseok Oh; Kyungjae Lee 001; Songhwai Oh (IROS, 2020)

Road Graphical Neural Networks for Autonomous Roundabout Driving. - Timothy Ha; Gunmin Lee; Dohyeong Kim; Songhwai Oh (IROS, 2021)

Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving. - Gunmin Lee; Wooseok Oh; Seungyoun Shin; Dohyeong Kim; Jeongwoo Oh; Jaeyeon Jeong; Sungjoon Choi; Songhwai Oh (CoRR, 2021)

RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving. - Timothy Ha; Jeongwoo Oh; Hojun Chung; Gunmin Lee; Songhwai Oh (IROS, 2022)

Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. - Jeongwoo Oh; Gunmin Lee; Jeongeun Park 002; Wooseok Oh; Jaeseok Heo; Hojun Chung; Do Hyung Kim 003; Byungkyu Park; Chang-Gun Lee; Sungjoon Choi; Songhwai Oh (IROS, 2022)

SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search. - Jeongwoo Oh; Jaeseok Heo; Junseo Lee; Gunmin Lee; Minjae Kang 002; Jeongho Park; Songhwai Oh (ICRA, 2023)

Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning. - Junseo Lee; Jaeseok Heo; Dohyeong Kim; Gunmin Lee; Songhwai Oh (IROS, 2023)

Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback. - Minyoung Hwang; Gunmin Lee; Hogun Kee; Chan Woo Kim; Kyungjae Lee 001; Songhwai Oh (NeurIPS, 2023)

RIANet++: Road Graph and Image Attention Networks for Robust Urban Autonomous Driving Under Road Changes. - Taeoh Ha; Jeongwoo Oh; Gunmin Lee; Jaeseok Heo; Do Hyung Kim 003; Byungkyu Park; Chang-Gun Lee; Songhwai Oh (IEEE Robotics Autom. Lett., 2023)

MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity. - Hojun Chung; Jeongwoo Oh; Jaeseok Heo; Gunmin Lee; Songhwai Oh (ICRA, 2024)

Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards. - Hyeokjin Kwon 003; Gunmin Lee; Junseo Lee; Songhwai Oh (IROS, 2024)

Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach. - Dohyeong Kim; Hyeokjin Kwon 003; Junseok Kim; Gunmin Lee; Songhwai Oh (CoRR, 2024)

Investigating the Limits of Graph Foundation Model in Real-World Travel Recommendation Systems. - Nayoung Lee; Gunmin Lee; Donghun Lee (PAKDD (Workshops), 2025)