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ORCIDNicklas Hansen 0001
Person information
- affiliation: University of California, San Diego, CA, USA
Other persons with the same name
- Nicklas Hansen 0002 — Technical University of Denmark (DTU), Denmark
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2020 – today
- 2024
[j3]Abdulaziz Almuzairee, Nicklas Hansen, Henrik I. Christensen:
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning. RLJ 1: 130-157 (2024)- [c14]Nicklas Hansen, Hao Su, Xiaolong Wang:
TD-MPC2: Scalable, Robust World Models for Continuous Control. ICLR 2024 - [c13]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 E. 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 - [c12]Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar:
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. ICRA 2024: 7530-7537 - [i19]Abdulaziz Almuzairee, Nicklas Hansen, Henrik I. Christensen:
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning. CoRR abs/2405.17416 (2024) - [i18]Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su:
Hierarchical World Models as Visual Whole-Body Humanoid Controllers. CoRR abs/2405.18418 (2024) - [i17]Ignat Georgiev, Varun Giridhar, Nicklas Hansen, Animesh Garg:
PWM: Policy Learning with Large World Models. CoRR abs/2407.02466 (2024) - [i16]Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo E. Veas, Xiaolong Wang:
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data. CoRR abs/2407.16680 (2024) - 2023
- [j2]Yanjie Ze
, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang:
Visual Reinforcement Learning With Self-Supervised 3D Representations. IEEE Robotics Autom. Lett. 8(5): 2890-2897 (2023) - [c11]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 - [c10]Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang:
Finetuning Offline World Models in the Real World. CoRL 2023: 425-445 - [c9]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR 2023 - [c8]Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu:
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. ICLR 2023 - [c7]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. ICML 2023: 12511-12526 - [i15]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) - [i14]Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar:
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. CoRR abs/2309.14236 (2023) - [i13]Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang:
Finetuning Offline World Models in the Real World. CoRR abs/2310.16029 (2023) - [i12]Nicklas Hansen, Hao Su, Xiaolong Wang:
TD-MPC2: Scalable, Robust World Models for Continuous Control. CoRR abs/2310.16828 (2023) - 2022
- [j1]Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang:
Look Closer: Bridging Egocentric and Third-Person Views With Transformers for Robotic Manipulation. IEEE Robotics Autom. Lett. 7(2): 3046-3053 (2022) - [c6]Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang:
Graph Inverse Reinforcement Learning from Diverse Videos. CoRL 2022: 55-66 - [c5]Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. ICLR 2022 - [c4]Nicklas Hansen, Hao Su, Xiaolong Wang:
Temporal Difference Learning for Model Predictive Control. ICML 2022: 8387-8406 - [i11]Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang:
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation. CoRR abs/2201.07779 (2022) - [i10]Nicklas Hansen, Xiaolong Wang, Hao Su:
Temporal Difference Learning for Model Predictive Control. CoRR abs/2203.04955 (2022) - [i9]Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang:
Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction. CoRR abs/2207.14299 (2022) - [i8]Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang:
Visual Reinforcement Learning with Self-Supervised 3D Representations. CoRR abs/2210.07241 (2022) - [i7]Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu:
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. CoRR abs/2210.10763 (2022) - [i6]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR abs/2212.05698 (2022) - [i5]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. CoRR abs/2212.05749 (2022) - 2021
- [c3]Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. ICLR 2021 - [c2]Nicklas Hansen, Xiaolong Wang:
Generalization in Reinforcement Learning by Soft Data Augmentation. ICRA 2021: 13611-13617 - [c1]Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. NeurIPS 2021: 3680-3693 - [i4]Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. CoRR abs/2107.00644 (2021) - [i3]Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. CoRR abs/2107.03996 (2021) - 2020
- [i2]Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. CoRR abs/2007.04309 (2020) - [i1]Nicklas Hansen, Xiaolong Wang:
Generalization in Reinforcement Learning by Soft Data Augmentation. CoRR abs/2011.13389 (2020)
Coauthor Index
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