Steven Bohez

Research Scientist, DeepMind

PhD student, Ghent University - imec

Joined

December 2017

Names

Steven Bohez

Emails

****@google.com (Confirmed)

****@ugent.be (Confirmed)

****@intec.ugent.be (Confirmed)

****@deepmind.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

DeepMind (deepmind.com)

2017 – Present

PhD student

Ghent University - imec (ugent.be)

2013 – Present

MS student

Ghent University (ugent.be)

2011 – 2013

Undergrad student

Ghent University (ugent.be)

2008 – 2011

Advisors, Relations & Conflicts

No relations added

Expertise

deep learning

reinforcement learning

robotics

2015 – Present

cloud computing

distributed systems

2013 – 2017

Publications

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields
Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess
- ICRA 2023
- Readers: Everyone
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jose Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey et al. (24 additional authors not shown)
- Published: 01 Jan 2023, Last Modified: 22 Sept 2023
- CoRR 2023
- 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
NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields
Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
Philémon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
- 2022 (modified: 24 Apr 2023)
- IROS 2022
- Readers: Everyone
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience
Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess
- Published: 01 Jan 2022, Last Modified: 26 May 2023
- CoRR 2022
- Readers: Everyone
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja
- Published: 01 Jan 2022, Last Modified: 26 May 2023
- CoLLAs 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

View all 43 publications

Co-Authors

View all 107 co-authors