Clare Lyle

Researcher, Google DeepMind

Joined

December 2019

Names

Clare Lyle

Emails

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

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

****@gmail.com (Confirmed)

****@deepmind.com (Confirmed)

****@google.com (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

Google DeepMind (google.com)

2022 – Present

PhD student

University of Oxford (ox.ac.uk)

2018 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Fine-Tuned In-Context Learners
Jörg Bornschein, Amal Rannen-Triki, Razvan Pascanu, Yazhe Li, Clare Lyle, Xu Owen He
- Submitted to ICLR 2026
- Readers: Everyone
Plasticity as the Mirror of Empowerment
David Abel, Michael Bowling, Andre Barreto, Will Dabney, Shi Dong, Steven Stenberg Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
- NeurIPS 2025 spotlight
- Readers: Everyone
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Avila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L Borsa, Arthur Guez, Will Dabney
- AISTATS 2025 Poster
- Readers: Everyone
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Avila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L Borsa, Arthur Guez, Will Dabney
- NeurIPS 2024 Workshop SSL
- Readers: Everyone
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
Alexandre Galashov, Michalis Titsias, András György, Clare Lyle, Razvan Pascanu, Yee Whye Teh, Maneesh Sahani
- NeurIPS 2024 poster
- Readers: Everyone
Normalization and effective learning rates in reinforcement learning
Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney
- NeurIPS 2024 poster
- Readers: Everyone
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
Mark Rowland, Li Kevin Wenliang, Remi Munos, Clare Lyle, Yunhao Tang, Will Dabney
- NeurIPS 2024 poster
- Readers: Everyone
Weight Clipping for Deep Continual and Reinforcement Learning
Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood
- RLC 2024
- Readers: Everyone
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle
- ICML 2024 Poster
- Readers: Everyone
Mixtures of Experts Unlock Parameter Scaling for Deep RL
Johan Samir Obando Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro
- ICML 2024 Spotlight
- Readers: Everyone

View all 31 publications

Co-Authors

View all 109 co-authors