Nicklas Hansen

发表

Alexei A. Efros, P. Abbeel, Lerrel Pinto, 2021 .

Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data

Ali Mohebbi, Alexander R. Johansen, Henrik Bengtsson, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Temporal Difference Learning for Model Predictive Control

Xiaolong Wang, H. Su, Nicklas Hansen, 2022, ICML.

Visual Reinforcement Learning with Self-Supervised 3D Representations

Xiaolong Wang, Nicklas Hansen, Yinbo Chen, 2022, ArXiv.

Graph Inverse Reinforcement Learning from Diverse Videos

Xiaolong Wang, Nicklas Hansen, Rishabh Jangir, 2022, CoRL.

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

Xiaolong Wang, Nicklas Hansen, Rishabh Jangir, 2022, ArXiv.

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

Z. Tu, H. Su, Nicklas Hansen, 2023, ICLR.

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

Xiaolong Wang, Nicklas Hansen, Huazhe Xu, 2021, ICLR.

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Vikash Kumar, A. Rajeswaran, Xiaolong Wang, 2022, ICLR.

Generalization in Reinforcement Learning by Soft Data Augmentation

Xiaolong Wang, Nicklas Hansen, Xiaolong Wang, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

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

Rishabh Jangir, Nicklas Hansen, Mohit Jain, 2022, IEEE Robotics and Automation Letters.

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

Xiaolong Wang, Nicklas Hansen, Hao Su, 2021, NeurIPS.

Self-Supervised Policy Adaptation during Deployment pdf

Alexei A. Efros, Yu Sun, Pieter Abbeel, 2020, ICLR.

Visual Reinforcement Learning With Self-Supervised 3D Representations

Xiaolong Wang, Nicklas Hansen, Yinbo Chen, 2022, IEEE Robotics and Automation Letters.

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

A. Rajeswaran, Xiaolong Wang, H. Su, 2022 .

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

Z. Tu, H. Su, Nicklas Hansen, 2022, ArXiv.

Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data

Alexander R. Johansen, M. Mørup, Nicklas Hansen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

A. Rajeswaran, Xiaolong Wang, H. Su, 2022, ICML.

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

X. Wang, Yuying Ge, Nicklas Hansen, 2023, ArXiv.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023, ArXiv.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

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

Nicklas Hansen, Hao Su, Xiaolong Wang, 2023, ArXiv.