Leonard Hasenclever

Research Scientist, DeepMind

Joined

March 2018

Names

Leonard Hasenclever

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

****@stats.ox.ac.uk (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

DeepMind (google.com)

2017 – Present

PhD student

University of Oxford (ox.ac.uk)

2014 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Yee Whye Teh

2015 – 2019

Expertise

No areas of expertise listed

Publications

Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin Riedmiller, Nicolas Heess
- CoRL 2024
- Readers: Everyone
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauza Villalonga, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J Joshi, Ben Jyenis, J Chase Kew et al. (30 additional authors not shown)
- VLMNM 2024
- Readers: Everyone
Relativistic Monte Carlo
Xiaoyu Lu, Valerio Perrone, Leonard Hasenclever, Yee Whye Teh, Sebastian Vollmer
- 31 Jan 2024
- OpenReview Archive Direct Upload
- Readers: Everyone
Replay across Experiments: A Natural Extension of Off-Policy RL
Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier
- ICLR 2024 poster
- Readers: Everyone
Language to Rewards for Robotic Skill Synthesis
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, brian ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia
- Published: 30 Aug 2023, Last Modified: 15 Jan 2026
- CoRL 2023 Oral
- Readers: Everyone
Towards A Unified Agent with Foundation Models
Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever, Markus Wulfmeier, Nicolas Heess, Martin Riedmiller
- Published: 03 Mar 2023, Last Modified: 19 Apr 2023
- RRL 2023 Oral
- Readers: Everyone
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller
- 2023 (modified: 24 Apr 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
Evaluating Model-Based Planning and Planner Amortization for Continuous Control
Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller
- 2022 (modified: 24 Apr 2023)
- ICLR 2022
- Readers: Everyone
Learning transferable motor skills with hierarchical latent mixture policies
Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
- 2022 (modified: 24 Apr 2023)
- ICLR 2022
- Readers: Everyone

View all 40 publications

Co-Authors

View all 153 co-authors