Gunmin Lee - RankMe

19 papers A* 4A 7Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RVN-Bench: A Benchmark for Reactive Visual Navigation. CoRR Jaewon Lee, Jaeseok Heo, Gunmin Lee, Howoong Jun, Jeongwoo Oh, Songhwai Oh
2026	J	`jnl`	SafeIL: Safety constrained imitation learning for autonomous systems. Robotics Auton. Syst. Gunmin Lee, Jaeseok Heo, Dohyeong Kim, Geunje Cheon, Jeongwoo Oh, Minyoung Hwang, Chanwoo Park, Kyungjae Lee, Songhwai Oh
2025	—	`conf`	Investigating the Limits of Graph Foundation Model in Real-World Travel Recommendation Systems. PAKDD (Workshops) Nayoung Lee, Gunmin Lee, Donghun Lee
2025	A*	`conf`	Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach. ICRA Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, Songhwai Oh
2024	A*	`conf`	MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity. ICRA Hojun Chung, Jeongwoo Oh, Jaeseok Heo, Gunmin Lee, Songhwai Oh
2024	A	`conf`	Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards. IROS Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh
2024	J	`jnl`	Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards. CoRR Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh
2024	J	`jnl`	Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach. CoRR Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, Songhwai Oh
2023	A	`conf`	Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning. IROS Junseo Lee, Jaeseok Heo, Dohyeong Kim, Gunmin Lee, Songhwai Oh
2023	J	`jnl`	RIANet++: Road Graph and Image Attention Networks for Robust Urban Autonomous Driving Under Road Changes. IEEE Robotics Autom. Lett. Taeoh Ha, Jeongwoo Oh, Gunmin Lee, Jaeseok Heo, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Songhwai Oh
2023	A*	`conf`	SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search. ICRA Jeongwoo Oh, Jaeseok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, Songhwai Oh
2023	A*	`conf`	Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback. NeurIPS Minyoung Hwang, Gunmin Lee, Hogun Kee, Chanwoo Kim, Kyungjae Lee, Songhwai Oh
2022	A	`conf`	RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving. IROS Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, Songhwai Oh
2022	A	`conf`	Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. IROS 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	A	`conf`	Road Graphical Neural Networks for Autonomous Roundabout Driving. IROS Timothy Ha, Gunmin Lee, Dohyeong Kim, Songhwai Oh
2021	J	`jnl`	Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving. CoRR Gunmin Lee, Wooseok Oh, Seungyoun Shin, Dohyeong Kim, Jeongwoo Oh, Jaeyeon Jeong, Sungjoon Choi, Songhwai Oh
2021	J	`jnl`	Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. CoRR Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, Songhwai Oh
2020	A	`conf`	MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities. IROS Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh
2019	A	`conf`	Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules. IROS Kyunghoon Cho, Timothy Ha, Gunmin Lee, Songhwai Oh