I am a PhD student at UC San Diego, advised by Prof. Xiaolong Wang and Prof. Hao Su. I interned at Meta AI (FAIR) during 2022.
Before starting my PhD, I was a visiting student at UC Berkeley and a research intern at Berkeley AI Research, where I was fortunate to work with Prof. Lerrel Pinto, Prof. Xiaolong Wang, and Prof. Alexei Efros.
I received my Bachelor's and Master's degrees from the Technical University of Denmark (DTU), where I worked with Prof. Ole Winther and Prof. Morten Mørup.
I have also spent time at Nanyang Technological University (NTUsg) in lovely Singapore, as well as Retune-DSP (acquired by NXP), and raffle.ai.
Research interest
I am broadly interested in research on the generalization and adaptation of neural agents. I believe AI in the future should be flexible, learn with little supervision, and learn continuously over their lifetime. I work with reinforcement learning, robotics, and computer vision.
Publications and preprints
Papers sorted by recency. Representative papers are highlighted.
Nicklas Hansen*, Zhecheng Yuan*, Yanjie Ze*, Tongzhou Mu*, Aravind Rajeswaran+, Hao Su+, Huazhe Xu+, Xiaolong Wang+
International Conference on Machine Learning (ICML), 2023
arXiv / code / bibtex
Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
International Conference on Learning Representations (ICLR), 2023
project page / arXiv / code / bibtex
Yifan Xu*, Nicklas Hansen*, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
International Conference on Learning Representations (ICLR), 2023
project page / arXiv / code / bibtex
Yanjie Ze*, Nicklas Hansen*, Yinbo Chen, Mohit Jain, Xiaolong Wang
Robotics and Automation Letters (RA-L), 2023
project page / arXiv / code / bibtex
Sateesh Kumar, Jonathan Zamora*, Nicklas Hansen*, Rishabh Jangir, Xiaolong Wang
Conference on Robot Learning (CoRL), 2022 (Oral)
project page / arXiv / bibtex
Nicklas Hansen, Xiaolong Wang*, Hao Su*
International Conference on Machine Learning (ICML), 2022
project page / arXiv / slides / code / bibtex
Rishabh Jangir*, Nicklas Hansen*, Sambaran Ghosal, Mohit Jain, Xiaolong Wang
Robotics and Automation Letters (RA-L), 2022
International Conference on Robotics and Automation (ICRA), 2022
project page / arXiv / code / bibtex
Nicklas Hansen, Hao Su, Xiaolong Wang
Conference on Neural Information Processing Systems (NeurIPS), 2021
project page / arXiv / code / bibtex
Ruihan Yang*, Minghao Zhang*, Nicklas Hansen, Huazhe Xu, Xiaolong Wang
International Conference on Learning Representations (ICLR), 2022 (Spotlight)
project page / arXiv / bibtex
Nicklas Hansen, Xiaolong Wang
International Conference on Robotics and Automation (ICRA), 2021
project page / arXiv / code / bibtex
Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang
International Conference on Learning Representations (ICLR), 2021 (Spotlight)
project page / arXiv / blog / code / bibtex
Ali Mohebbi, Alexander R. Johansen, Nicklas Hansen, Peter E. Christensen, Jens M. Tarp, Morten L. Jensen, Henrik Bengtsson, Morten Mørup
Engineering in Medicine and Biology Conference (EMBC), 2020
arXiv / bibtex
Misc. open-source projects
Nicklas Hansen, Xiaolong Wang
November 2020
project page / arXiv / code / bibtex
Nicklas Hansen, Peter E. Christensen, Alexander R. Johansen
October 2019
colab / code
Nicklas Hansen*, Christoffer Riis*
December 2019
code
Nicklas Hansen*, Simon H. Albrechtsen*
December 2018
tech report / code / bibtex