Lee, Youngwoon

22 publications

ICLR 2026 Scalable Offline Model-Based RL with Action Chunks Kwanyoung Park, Seohong Park, Youngwoon Lee, Sergey Levine

ICLR 2026 TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models Hokyun Im, Euijin Jeong, Andrey Kolobov, Jianlong Fu, Youngwoon Lee

ICLR 2025 Model-Based Offline Reinforcement Learning with Lower Expectile Q-Learning Kwanyoung Park, Youngwoon Lee

ICLRW 2025 Model-Based Offline Reinforcement Learning with Lower Expectile Q-Learning Kwanyoung Park, Youngwoon Lee

CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

CoRL 2025 UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations Hanjung Kim, Jaehyun Kang, Hyolim Kang, Meedeum Cho, Seon Joo Kim, Youngwoon Lee

ICLR 2024 DreamSmooth: Improving Model-Based Reinforcement Learning via Reward Smoothing Vint Lee, Pieter Abbeel, Youngwoon Lee

CoRL 2024 TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations Junik Bae, Kwanyoung Park, Youngwoon Lee

ICML 2023 Controllability-Aware Unsupervised Skill Discovery Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel

CoRL 2023 Language-Conditioned Path Planning Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James

NeurIPS 2023 Video Prediction Models as Rewards for Reinforcement Learning Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay N. Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel

CoRL 2022 Skill-Based Model-Based Reinforcement Learning Lucy Xiaoyang Shi, Joseph J Lim, Youngwoon Lee

CoRL 2021 Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization Youngwoon Lee, Joseph J Lim, Anima Anandkumar, Yuke Zhu

CoRL 2021 Demonstration-Guided Reinforcement Learning with Learned Skills Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J Lim

CoRL 2021 Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J Lim, Peter Englert, Youngwoon Lee

NeurIPS 2021 Generalizable Imitation Learning from Observation via Inferring Goal Proximity Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim

CoRL 2020 Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch, Youngwoon Lee, Joseph Lim

ICLR 2020 Learning to Coordinate Manipulation Skills via Skill Behavior Diversification Youngwoon Lee, Jingyun Yang, Joseph J. Lim

CoRL 2020 Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav Sukhatme, Joseph Lim, Peter Englert

ICLR 2019 Composing Complex Skills by Learning Transition Policies Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim

CoRL 2019 To Follow or Not to Follow: Selective Imitation Learning from Observations Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim

CVPR 2012 Spherical Hashing Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang, Sung-Eui Yoon