Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space. - Minjae Kang 002; Kyungjae Lee 001; Songhwai Oh (IROS, 2019)

Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search. - Minjae Kang 002; Hogun Kee; Junseok Kim; Songhwai Oh (IROS, 2022)

Deep latent-space sequential skill chaining from incomplete demonstrations. - Minjae Kang 002; Songhwai Oh (Intell. Serv. Robotics, 2022)

Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning. - Mineui Hong; Kyungjae Lee 001; Minjae Kang 002; Wonsuhk Jung; Songhwai Oh (IEEE Robotics Autom. Lett., 2022)

SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects. - Hogun Kee; Minjae Kang 002; Dohyeong Kim; Jaegoo Choy; Songhwai Oh (ICRA, 2023)

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)

Object Rearrangement Planning for Target Retrieval in a Confined Space with Lateral View. - Minjae Kang 002; Junseok Kim; Hogun Kee; Songhwai Oh (IROS, 2023)

Diffused Task-Agnostic Milestone Planner. - Mineui Hong; Minjae Kang 002; Songhwai Oh (NeurIPS, 2023)

Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing. - Minjae Kang 002; Hogun Kee; Yoseph Park; Junseok Kim; Jaeyeon Jeong; Geunje Cheon; Jaewon Lee; Songhwai Oh (IROS, 2024)

Playbook: Scalable Discrete Skill Discovery From Unstructured Datasets for Long-Horizon Decision-Making Problems. - Minjae Kang 002; Mineui Hong; Songhwai Oh (IEEE Robotics Autom. Lett., 2025)

Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement. - Hogun Kee; Wooseok Oh; Minjae Kang 002; Hyemin Ahn 001; Songhwai Oh (IEEE Robotics Autom. Lett., 2025)