Gunmin Lee

According to our database, Gunmin Lee authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach.

Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, Songhwai Oh

CoRR, 2024

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

CoRR, 2024

MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity.

Hojun Chung, Jeongwoo Oh, Jaeseok Heo, Gunmin Lee, Songhwai Oh

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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, Byungkyu Park, Chang-Gun Lee, Songhwai Oh

IEEE Robotics Autom. Lett., November, 2023

Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback.

Minyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee, Songhwai Oh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning.

Junseo Lee, Jaeseok Heo, Dohyeong Kim, Gunmin Lee, Songhwai Oh

IROS, 2023

SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search.

Jeongwoo Oh, Jaeseok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, Songhwai Oh

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving.

Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, Songhwai Oh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

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

Road Graphical Neural Networks for Autonomous Roundabout Driving.

Timothy Ha, Gunmin Lee, Dohyeong Kim, Songhwai Oh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities.

Gunmin Lee, Dohyeong Kim, Wooseok Oh, Kyungjae Lee, Songhwai Oh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules.

Kyunghoon Cho, Timothy Ha, Gunmin Lee, Songhwai Oh

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019