Frederik Ebert

According to our database, Frederik Ebert authored at least 16 papers between 2017 and 2023.

Collaborative distances:

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

2023

Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials.

Aviral Kumar, Anikait Singh, Frederik D. Ebert, Mitsuhiko Nakamoto, Yanlai Yang, Chelsea Finn, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials.

Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine

CoRR, 2022

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets.

Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Model-Based Visual Planning with Self-Supervised Functional Distances.

Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine

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

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.

Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors.

Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

CoRR, 2020

Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors.

Karl Pertsch, Oleh Rybkin, Frederik Ebert, Shenghao Zhou, Dinesh Jayaraman, Chelsea Finn, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

OmniTact: A Multi-Directional High-Resolution Touch Sensor.

Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Improvisation through Physical Understanding: Using Novel Objects As Tools with Visual Foresight.

Annie Xie, Frederik Ebert, Sergey Levine, Chelsea Finn

Proceedings of the Robotics: Science and Systems XV, 2019

Manipulation by Feel: Touch-Based Control with Deep Predictive Models.

Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

Time-Agnostic Prediction: Predicting Predictable Video Frames.

Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine

Proceedings of the 7th International Conference on Learning Representations, 2019

RoboNet: Large-Scale Multi-Robot Learning.

Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.

Frederik Ebert, Chelsea Finn, Sudeep Dasari, Annie Xie, Alex X. Lee, Sergey Levine

CoRR, 2018

Stochastic Adversarial Video Prediction.

Alex X. Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, Sergey Levine

CoRR, 2018

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning.

Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Self-Supervised Visual Planning with Temporal Skip Connections.

Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017