| 2025 | ICRA | Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach. | Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, Songhwai Oh |
| 2025 | PAKDD | Investigating the Limits of Graph Foundation Model in Real-World Travel Recommendation Systems. | Nayoung Lee, Gunmin Lee, Donghun Lee |
| 2024 | ICRA | MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity. | Hojun Chung, Jeongwoo Oh, Jaeseok Heo, Gunmin Lee, Songhwai Oh |
| 2024 | IROS | Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards. | Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh |
| 2023 | ICRA | SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search. | Jeongwoo Oh, Jaeseok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, Songhwai Oh |
| 2023 | IROS | Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning. | Junseo Lee, Jaeseok Heo, Dohyeong Kim, Gunmin Lee, Songhwai Oh |
| 2022 | IROS | RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving. | Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, Songhwai Oh |
| 2022 | IROS | Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. | Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, Songhwai Oh |
| 2021 | IROS | Road Graphical Neural Networks for Autonomous Roundabout Driving. | Timothy Ha, Gunmin Lee, Dohyeong Kim, Songhwai Oh |
| 2020 | IROS | MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. | Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh |
| 2019 | IROS | Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules. | Kyunghoon Cho, Timothy Ha, Gunmin Lee, Songhwai Oh |