Nicklas Hansen

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning	2024	Abdulaziz Almuzairee Nicklas Hansen Henrik I. Christensen
+ PDF Chat	MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation	2024	Patrick Lancaster Nicklas Hansen Aravind Rajeswaran Vikash Kumar
+ PDF Chat	Visual Reinforcement Learning With Self-Supervised 3D Representations	2023	Yanjie Ze Nicklas Hansen Yinbo Chen Mohit Jain Xiaolong Wang
+	GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields	2023	Yanjie Ze Ge Yan Yueh-Hua Wu Annabella Macaluso Yuying Ge Jianglong Ye Nicklas Hansen Li Erran Li Xiaolong Wang
+	MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation	2023	Patrick Lancaster Nicklas Hansen Aravind Rajeswaran Vikash Kumar
+	Open X-Embodiment: Robotic Learning Datasets and RT-X Models	2023	Open X-Embodiment Collaboration Abhishek Padalkar Acorn Pooley Ajinkya Jain Alex Bewley Alex Herzog Alex Irpan Alexander Khazatsky Anant Rai Anikait Singh
+	Finetuning Offline World Models in the Real World	2023	Yunhai Feng Nicklas Hansen Ziyan Xiong Chandramouli Rajagopalan Xiaolong Wang
+	TD-MPC2: Scalable, Robust World Models for Continuous Control	2023	Nicklas Hansen Hao Su Xiaolong Wang
+	Look Closer: Bridging Egocentric and Third-Person Views With Transformers for Robotic Manipulation	2022	Rishabh Jangir Nicklas Hansen Sambaran Ghosal Mohit Jain Xiaolong Wang
+	Temporal Difference Learning for Model Predictive Control	2022	Nicklas Hansen Xiaolong Wang Hao Su
+	Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation	2022	Rishabh Jangir Nicklas Hansen Sambaran Ghosal Mohit Jain Xiaolong Wang
+	Graph Inverse Reinforcement Learning from Diverse Videos	2022	Sateesh Kumar J. Zamora Nicklas Hansen Rishabh Jangir Xiaolong Wang
+	Visual Reinforcement Learning with Self-Supervised 3D Representations	2022	Yanjie Ze Nicklas Hansen Yinbo Chen Mohit Jain Xiaolong Wang
+	On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning	2022	Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan Hao Su Zhuowen Tu
+	MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations	2022	Nicklas Hansen Yixin Lin Hao Su Xiaolong Wang Vikash Kumar Aravind Rajeswaran
+	On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline	2022	Nicklas Hansen Zhecheng Yuan Yanjie Ze Tongzhou Mu Aravind Rajeswaran Hao Su Huazhe Xu Xiaolong Wang
+ PDF Chat	Generalization in Reinforcement Learning by Soft Data Augmentation	2021	Nicklas Hansen Xiaolong Wang
+	Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation	2021	Nicklas Hansen Hao Su Xiaolong Wang
+	Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers	2021	Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang
+ PDF Chat	Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data	2020	Ali Mohebbi Alexander Rosenberg Johansen Nicklas Hansen Peter Ebert Christensen Jens M. Tarp Morten Lind Jensen Henrik Bengtsson Morten Mørup
+	Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data	2020	Ali Mohebbi Alexander Rosenberg Johansen Nicklas Hansen Peter Ebert Christensen Jens M. Tarp Morten Lind Jensen Henrik Bengtsson Morten Mørup
+	Self-Supervised Policy Adaptation during Deployment	2020	Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang
+	Generalization in Reinforcement Learning by Soft Data Augmentation	2020	Nicklas Hansen Xiaolong Wang
+	Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data	2020	Ali Mohebbi Alexander Rosenberg Johansen Nicklas Hansen Peter Ebert Christensen Jens M. Tarp Morten Lind Jensen Henrik Bengtsson Morten Mørup

Common Coauthors

Coauthor	Papers Together
Xiaolong Wang	7
Xiaolong Wang	7
Hao Su	4
Aravind Rajeswaran	4
Yanjie Ze	4
Rishabh Jangir	4
Alexander Rosenberg Johansen	3
Mohit Jain	3
Henrik Bengtsson	3
Peter Ebert Christensen	3
Ali Mohebbi	3
Morten Mørup	3
Vikash Kumar	3
Morten Lind Jensen	3
Jens M. Tarp	3
Yinbo Chen	2
Xiaolong Wang	2
Lerrel Pinto	2
Yueh-Hua Wu	2
Henrik I. Christensen	2
Sambaran Ghosal	2
Huazhe Xu	2
Patrick Lancaster	2
Hao Su	1
Ziyan Xiong	1
Yoonyoung Cho	1
Jad Abou-Chakra	1
Brian Ichter	1
Nur Muhammad Mahi Shafiullah	1
Alexander Khazatsky	1
Freek Stulp	1
Maximilian Du	1
Sichun Xu	1
Abhishek Padalkar	1
Stefan Schaal	1
Isabel Leal	1
Tianli Ding	1
Jitendra Malik	1
Igor Mordatch	1
Keegan Go	1
Vincent Vanhoucke	1
Chelsea Finn	1
Xuanlin Li	1
Takayuki Osa	1
Rafael Rafailov	1
Trevor Darrell	1
Sergey Levine	1
Vidhi Jain	1
Yuke Zhu	1
Antonin Raffin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	CURL: Contrastive Unsupervised Representations for Reinforcement Learning	2020	Aravind Srinivas Michael Laskin Pieter Abbeel	6
+	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images	2019	Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joëlle Pineau Rob Fergus	5
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	5
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	5
+	Reinforcement Learning with Augmented Data	2020	Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel Aravind Srinivas	4
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	4
+	BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators	2019	Fábio Ramos Rafael Possas Dieter Fox	4
+	DeepMind Control Suite	2018	Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li Diego de Las Casas David Budden Abbas Abdolmaleki Josh Merel Andrew Lefrancq	4
+	Visual Reinforcement Learning with Imagined Goals	2018	Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine	4
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	4
+ PDF Chat	Sim-to-Real Transfer of Robotic Control with Dynamics Randomization	2018	Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel	4
+	Decoupling Representation Learning from Reinforcement Learning	2020	Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin	4
+	Asymmetric Actor Critic for Image-Based Robot Learning	2017	Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel	4
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	4
+ PDF Chat	Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours	2016	Lerrel Pinto Abhinav Gupta	4
+ PDF Chat	Generalization in Reinforcement Learning by Soft Data Augmentation	2021	Nicklas Hansen Xiaolong Wang	4
+	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning	2020	Roberta Raileanu Max A. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus	3
+	Bootstrap your own latent: A new approach to self-supervised Learning	2020	Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre H. Richemond Elena Buchatskaya Carl Doersch Bernardo Ávila Pires Zhaohan Daniel Guo Mohammad Gheshlaghi Azar	3
+	Self-Supervised Policy Adaptation during Deployment	2020	Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang	3
+	Single Episode Policy Transfer in Reinforcement Learning	2019	Jiachen Yang Brenden K. Petersen Hongyuan Zha Daniel Faissol	3
+	QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation	2018	Dmitry Kalashnikov Alex Irpan Peter Pástor Julian Ibarz Alexander Herzog Eric Jang Deirdre Quillen Ethan Holly Mrinal Kalakrishnan Vincent Vanhoucke	3
+	Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control	2018	Frederik Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine	3
+ PDF Chat	Learning dexterous in-hand manipulation	2019	OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafał Józefowicz Bob McGrew Jakub Pachocki Arthur J Petron Matthias Plappert Glenn Powell Alex Ray	3
+	Assessing Generalization in Deep Reinforcement Learning	2018	Charles Packer Katelyn Gao Jernej Kos Philipp Krähenbühl Vladlen Koltun Dawn Song	3
+	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels	2020	Ilya Kostrikov Denis Yarats Rob Fergus	3
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	3
+	Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning	2020	Ryan Julian Benjamin Swanson Gaurav S. Sukhatme Sergey Levine Chelsea Finn Karol Hausman	3
+ PDF Chat	Unsupervised Learning of Visual Representations Using Videos	2015	Xiaolong Wang Abhinav Gupta	3
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	3
+	End-to-End Training of Deep Visuomotor Policies	2015	Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel	3
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	3
+ PDF Chat	Target-driven visual navigation in indoor scenes using deep reinforcement learning	2017	Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi	3
+ PDF Chat	Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection	2017	Sergey Levine Peter Pástor Alex Krizhevsky Julian Ibarz Deirdre Quillen	3
+	Contrastive Multiview Coding	2019	Yonglong Tian Dilip Krishnan Phillip Isola	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+ PDF Chat	A Markovian Decision Process	1957	Richard Bellman	2
+	Domain Adaptation for Reinforcement Learning on the Atari	2019	Thomas Carr Maria Chli George Vogiatzis	2
+	Soft Actor-Critic Algorithms and Applications	2018	Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel	2
+	Quantifying Generalization in Reinforcement Learning	2018	Karl Cobbe Oleg Klimov Chris Hesse Taehoon Kim John Schulman	2
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	2
+	Observational Overfitting in Reinforcement Learning	2019	Xingyou Song Yiding Jiang Yilun Du Behnam Neyshabur	2
+ PDF Chat	Observational Overfitting in Reinforcement Learning	2019	Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur	2
+	Leveraging Procedural Generation to Benchmark Reinforcement Learning	2019	Karl Cobbe Christopher Hesse Jacob Hilton John Schulman	2
+	A Simple Randomization Technique for Generalization in Deep Reinforcement Learning	2019	Kimin Lee Kibok Lee Jinwoo Shin Honglak Lee	2
+ PDF Chat	Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	Shixiang Gu Ethan Holly Timothy Lillicrap Sergey Levine	2
+	Asymmetric Actor Critic for Image-Based Robot Learning	2018	Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel	2
+	Dream to Control: Learning Behaviors by Latent Imagination	2019	Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi	2
+ PDF Chat	Convolutional Recurrent Neural Networks for Glucose Prediction	2019	Kezhi Li John Daniels Chengyuan Liu Pau Herrero Pantelis Georgiou	2
+	Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation	2019	Shani Gamrian Yoav Goldberg	2
+	Visual Semantic Navigation using Scene Priors	2018	Wei Yang Xiaolong Wang Ali Farhadi Abhinav Gupta Roozbeh Mottaghi	2