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Youngwoon Lee
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2020 – today
- 2024
- [i18]Carmelo Sferrazza, Dun-Ming Huang, Xingyu Lin, Youngwoon Lee, Pieter Abbeel:
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation. CoRR abs/2403.10506 (2024) - [i17]Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. CoRR abs/2403.12945 (2024) - 2023
- [c21]Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James:
Language-Conditioned Path Planning. CoRL 2023: 3384-3396 - [c20]Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel:
Controllability-Aware Unsupervised Skill Discovery. ICML 2023: 27225-27245 - [c19]Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel:
Video Prediction Models as Rewards for Reinforcement Learning. NeurIPS 2023 - [c18]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. Robotics: Science and Systems 2023 - [c17]Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim:
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. Robotics: Science and Systems 2023 - [i16]Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel:
Controllability-Aware Unsupervised Skill Discovery. CoRR abs/2302.05103 (2023) - [i15]Minho Heo, Youngwoon Lee, Doohyun Lee, Joseph J. Lim:
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. CoRR abs/2305.12821 (2023) - [i14]Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel:
Video Prediction Models as Rewards for Reinforcement Learning. CoRR abs/2305.14343 (2023) - [i13]Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James:
Language-Conditioned Path Planning. CoRR abs/2308.16893 (2023) - [i12]Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel:
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. CoRR abs/2311.00924 (2023) - [i11]Vint Lee, Pieter Abbeel, Youngwoon Lee:
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing. CoRR abs/2311.01450 (2023) - 2022
- [c16]Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee:
Skill-based Model-based Reinforcement Learning. CoRL 2022: 2262-2272 - [i10]Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee:
Skill-based Model-based Reinforcement Learning. CoRR abs/2207.07560 (2022) - [i9]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. CoRR abs/2212.04708 (2022) - 2021
- [c15]Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. CoRL 2021: 406-416 - [c14]I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee:
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRL 2021: 641-650 - [c13]Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim:
Demonstration-Guided Reinforcement Learning with Learned Skills. CoRL 2021: 729-739 - [c12]Youngwoon Lee, Edward S. Hu, Joseph J. Lim:
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. ICRA 2021: 6343-6349 - [c11]Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim:
Generalizable Imitation Learning from Observation via Inferring Goal Proximity. NeurIPS 2021: 16118-16130 - [c10]Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim:
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. Robotics: Science and Systems 2021 - [i8]Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim:
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. CoRR abs/2107.00339 (2021) - [i7]Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim:
Demonstration-Guided Reinforcement Learning with Learned Skills. CoRR abs/2107.10253 (2021) - [i6]I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee:
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. CoRR abs/2111.06383 (2021) - [i5]Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. CoRR abs/2111.07999 (2021) - 2020
- [c9]Karl Pertsch, Youngwoon Lee, Joseph J. Lim:
Accelerating Reinforcement Learning with Learned Skill Priors. CoRL 2020: 188-204 - [c8]Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert:
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. CoRL 2020: 589-603 - [c7]Youngwoon Lee, Jingyun Yang, Joseph J. Lim:
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification. ICLR 2020 - [i4]Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert:
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. CoRR abs/2010.11940 (2020) - [i3]Karl Pertsch, Youngwoon Lee, Joseph J. Lim:
Accelerating Reinforcement Learning with Learned Skill Priors. CoRR abs/2010.11944 (2020)
2010 – 2019
- 2019
- [c6]Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim:
To Follow or not to Follow: Selective Imitation Learning from Observations. CoRL 2019: 11-23 - [c5]Youngwoon Lee, Shao-Hua Sun, Sriram Somasundaram, Edward S. Hu, Joseph J. Lim:
Composing Complex Skills by Learning Transition Policies. ICLR (Poster) 2019 - [i2]Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim:
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. CoRR abs/1911.07246 (2019) - [i1]Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim:
To Follow or not to Follow: Selective Imitation Learning from Observations. CoRR abs/1912.07670 (2019) - 2015
- [j2]Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang, Sung-Eui Yoon:
Spherical Hashing: Binary Code Embedding with Hyperspheres. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2304-2316 (2015) - [c4]Seokbin Kang, Youngwoon Lee, Suwoong Lee:
Kids in Fairytales: Experiential and Interactive Storytelling in Children's Libraries. CHI Extended Abstracts 2015: 1007-1012 - 2014
- [j1]Youngwoon Lee, Jae-Pil Heo, Sung-Eui Yoon:
Quadra-embedding: Binary code embedding with low quantization error. Comput. Vis. Image Underst. 125: 214-222 (2014) - 2013
- [c3]Jungin Lee, OSung Kwon, Youngwoon Lee, Sung-Eui Yoon:
Stereotype-based semantic expansion for image retrieval. ICME Workshops 2013: 1-4 - 2012
- [c2]Youngwoon Lee, Jae-Pil Heo, Sung-Eui Yoon:
Quadra-Embedding: Binary Code Embedding with Low Quantization Error. ACCV (2) 2012: 214-227 - [c1]Jae-Pil Heo, Youngwoon Lee, Junfeng He, Shih-Fu Chang, Sung-Eui Yoon:
Spherical hashing. CVPR 2012: 2957-2964
Coauthor Index
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