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.
Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar
arXiv, 2023
project page / arXiv / bibtex
Yanjie Ze*, Ge Yan*, Yueh-Hua Wu*, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang
Conference on Robot Learning (CoRL), 2023 (Oral)
project page / arXiv / code / bibtex
Yunhai Feng*, Nicklas Hansen*, Ziyan Xiong*, Chandramouli Rajagopalan, Xiaolong Wang
Conference on Robot Learning (CoRL), 2023 (Oral)
project page / openreview / bibtex
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*, Hao Su*
Mar 2022
project page / arXiv / slides / code / bibtex
Nicklas Hansen, Xiaolong Wang
Nov 2020
project page / arXiv / code / bibtex
Nicklas Hansen, Peter E. Christensen, Alexander R. Johansen
Oct 2019
colab / code
Nicklas Hansen*, Simon H. Albrechtsen*
Dec 2018
tech report / code / bibtex