Frederik Ebert

Joined

December 2017

Names

Frederik Ebert

Emails

****@berkeley.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of California Berkeley (berkeley.edu)

2017 – 2021

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

RoboNet: Large-Scale Multi-Robot Learning
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn
- CoRAL
- Readers: Everyone
Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning
Anikait Singh, Aviral Kumar, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning
Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning
Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
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
- Published: 13 Sept 2021, Last Modified: 08 Feb 2026
- CoRL2021 Poster
- Readers: Everyone
Model-Based Visual Planning with Self-Supervised Functional Distances
Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Spotlight
- Readers: Everyone

Frederik Ebert

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

RoboNet: Large-Scale Multi-Robot Learning

Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning

Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning

Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning

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

Model-Based Visual Planning with Self-Supervised Functional Distances

Co-Authors