Philemon Brakel

Undergrad student

MS student

PhD student

Research Scientist, Robotics, Google/DeepMind

Joined

September 2016

Names

Philemon Brakel (Preferred)

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Undergrad student

(uva.nl)

Present

MS student

(uva.nl)

Present

PhD student

(ugent.be)

Present

Research Scientist

Robotics, Google/DeepMind (google.com)

2017 – Present

Postdoc

MILA, University of Montreal (umontreal.ca)

2014 – 2017

PhD student

ELIS, Ghent University (ugent.be)

2009 – 2014

MS student

University of Amsterdam (uva.nl)

2007 – 2009

Undergrad student

University of Amsterdam (uva.nl)

2004 – 2007

Advisors, Relations & Conflicts

Postdoc Advisor

Yoshua Bengio

2014 – 2017

Expertise

deep learning

speech recognition

unsupervised learning

reinforcement learning

robotics

Present

Publications

Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement
Michael Bloesch, Markus Wulfmeier, Philemon Brakel, Todor Davchev, Martina Zambelli, Jost Tobias Springenberg, Abbas Abdolmaleki, William F Whitney, Nicolas Heess, Roland Hafner, Martin Riedmiller
- Submitted to ICLR 2025
- Readers: Everyone
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Maria Elisabeth Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin Riedmiller
- ICML 2024 Oral
- Readers: Everyone
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
- CoRR 2024
- Readers: Everyone
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
Philémon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
- IROS 2022
- Readers: Everyone
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell et al. (1 additional authors not shown)
- 2022 (modified: 16 Jun 2022)
- CoRR 2022
- Readers: Everyone
A Constrained Multi-Objective Reinforcement Learning Framework
Sandy Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin Riedmiller, raia hadsell
- Published: 13 Sept 2021, Last Modified: 05 May 2023
- CoRL2021 Poster
- Readers: Everyone
A Constrained Multi-Objective Reinforcement Learning Framework
Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell
- CoRL 2021
- Readers: Everyone
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
- 2021 (modified: 16 Jun 2022)
- CoRR 2021
- Readers: Everyone
Explicit Pareto Front Optimization for Constrained Reinforcement Learning
Sandy Huang, Abbas Abdolmaleki, Philemon Brakel, Steven Bohez, Nicolas Heess, Martin Riedmiller, raia hadsell
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

View all 38 publications

Co-Authors

View all 73 co-authors