Charline Le Lan

Joined

May 2019

Names

Charline Le Lan (Preferred)

Charline LE LAN

Emails

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

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

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

University of Oxford (ox.ac.uk)

2018 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Marc G. Bellemare

2019 – 2022

Expertise

Deep Learning

Present

Reinforcement learning

Present

Unsupervised learning

Present

Generative modeling

Present

Publications

Human Alignment of Large Language Models through Online Preference Optimisation
Daniele Calandriello, Zhaohan Daniel Guo, Remi Munos, Mark Rowland, Yunhao Tang, Bernardo Avila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot
- ICML 2024 Poster
- Readers: Everyone
Revisiting Bisimulation: A Sampling-Based State Similarity Pseudo-metric
Charline Le Lan, Rishabh Agarwal
- 01 Mar 2023 (modified: 01 Jun 2023)
- Submitted to Tiny Papers @ ICLR 2023
- Readers: Everyone
Bootstrapped Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G Bellemare, Will Dabney
- Published: 03 Mar 2023, Last Modified: 12 Apr 2023
- RRL 2023 Poster
- Readers: Everyone
Bootstrapped Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G Bellemare, Will Dabney
- ICML 2023 Poster
- Readers: Everyone
Understanding Self-Predictive Learning for Reinforcement Learning
Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Avila Pires, Yash Chandak, Remi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko
- ICML 2023 Poster
- Readers: Everyone
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G Bellemare
- 08 Oct 2022 (modified: 08 Feb 2026)
- Deep RL Workshop 2022
- Readers: Everyone
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G Bellemare
- 05 Oct 2022 (modified: 15 Feb 2026)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G Bellemare
- 05 Oct 2022 (modified: 30 Dec 2025)
- FMDM@NeurIPS2022
- Readers: Everyone
A Novel Stochastic Gradient Descent Algorithm for LearningPrincipal Subspaces
Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G Bellemare
- Published: 23 Nov 2022, Last Modified: 15 Feb 2026
- OPT 2022 Poster
- Readers: Everyone
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G Bellemare
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone

View all 16 publications

Co-Authors

View all 38 co-authors