Nicklas Hansen

According to our database, Nicklas Hansen authored at least 18 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Visual Reinforcement Learning With Self-Supervised 3D Representations.

Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang

IEEE Robotics Autom. Lett., May, 2023

TD-MPC2: Scalable, Robust World Models for Continuous Control.

Nicklas Hansen, Hao Su, Xiaolong Wang

CoRR, 2023

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation.

Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar

CoRR, 2023

GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields.

Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang

CoRR, 2023

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.

Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang

Proceedings of the International Conference on Machine Learning, 2023

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning.

Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations.

Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields.

Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2023

Finetuning Offline World Models in the Real World.

Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2023

2022

Look Closer: Bridging Egocentric and Third-Person Views With Transformers for Robotic Manipulation.

Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang

IEEE Robotics Autom. Lett., 2022

Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction.

Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang

CoRR, 2022

Temporal Difference Learning for Model Predictive Control.

Nicklas Hansen, Hao Su, Xiaolong Wang

Proceedings of the International Conference on Machine Learning, 2022

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers.

Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Inverse Reinforcement Learning from Diverse Videos.

Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2022

2021

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation.

Nicklas Hansen, Hao Su, Xiaolong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalization in Reinforcement Learning by Soft Data Augmentation.

Nicklas Hansen, Xiaolong Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Self-Supervised Policy Adaptation during Deployment.

Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Self-Supervised Policy Adaptation during Deployment.

Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang

CoRR, 2020