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Yueh-Hua Wu
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2020 – today
- 2024
- [c10]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i13]Ge Yan, Yueh-Hua Wu, Xiaolong Wang:
DNAct: Diffusion Guided Multi-Task 3D Policy Learning. CoRR abs/2403.04115 (2024) - 2023
- [c9]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRL 2023: 284-301 - [c8]Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. NeurIPS 2023 - [i12]Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. CoRR abs/2307.02484 (2023) - [i11]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRR abs/2308.16891 (2023) - 2022
- [c7]Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. CoRL 2022: 618-629 - [c6]Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang:
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. ECCV (39) 2022: 570-587 - [i10]Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. CoRR abs/2204.02320 (2022) - 2021
- [i9]Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang:
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. CoRR abs/2108.05877 (2021) - 2020
- [c5]Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. CVPR Workshops 2020: 1571-1580 - [i8]Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao:
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization. CoRR abs/2005.09624 (2020)
2010 – 2019
- 2019
- [c4]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS 2019: 2201-2203 - [c3]Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama:
Imitation Learning from Imperfect Demonstration. ICML 2019: 6818-6827 - [i7]Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama:
Imitation Learning from Imperfect Demonstration. CoRR abs/1901.09387 (2019) - [i6]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. CoRR abs/1901.10059 (2019) - [i5]Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su:
Model Imitation for Model-Based Reinforcement Learning. CoRR abs/1909.11821 (2019) - [i4]Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. CoRR abs/1911.11929 (2019) - 2018
- [c2]Yueh-Hua Wu, Shou-De Lin:
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. AAAI 2018: 1687-1694 - [c1]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. AIES 2018: 297-302 - [i3]Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin:
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. CoRR abs/1809.02105 (2018) - [i2]Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin:
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. CoRR abs/1809.02112 (2018) - 2017
- [i1]Yueh-Hua Wu, Shou-De Lin:
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. CoRR abs/1712.04172 (2017)
Coauthor Index
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