Bernardo Avila Pires

Research Scientist, Google DeepMind

Joined

September 2018

Names

Bernardo Avila Pires (Preferred)

Bernardo Ávila Pires

Bernardo A. Pires

Emails

****@google.com (Confirmed)

****@deepmind.com (Confirmed)

****@ualberta.ca (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

Google DeepMind (google.com)

2016 – Present

PhD student

University of Alberta (ualberta.ca)

2011 – 2016

MSc student

University of Alberta (ualberta.ca)

2009 – 2011

Advisors, Relations & Conflicts

Coauthor

Yunhao Tang

2022 – 2025

Coauthor

Remi Munos

2016 – 2025

Coauthor

Mohammad Gheshlaghi Azar

2016 – 2023

PhD Advisor

Csaba Szepesvari

2009 – 2016

Expertise

Deep Reinforcement Learning

2016 – Present

Reinforcement Learning

2008 – Present

Statistical Learning Theory

2009 – 2016

Publications

Representation Learning via Non-Contrastive Mutual Information
Zhaohan Daniel Guo, Bernardo Avila Pires, Khimya Khetarpal, Dale Schuurmans, Bo Dai
- AISTATS 2026 Spotlight
- Readers: Everyone
Off-policy Distributional Q($\lambda$): Distributional RL without Importance Sampling
Yunhao Tang, Mark Rowland, Rémi Munos, Bernardo Avila Pires, Will Dabney
- AISTATS 2026 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
- 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
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
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Remi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Avila Pires, Bilal Piot
- ICML 2024 Poster
- Readers: Everyone
Understanding Plasticity in Neural Networks
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney
- ICML 2023 OralPoster
- Readers: Everyone
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Remi Munos, Bernardo Avila Pires, Michal Valko
- 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
Understanding plasticity in neural networks
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
- 2023 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone

View all 38 publications

Co-Authors

View all 68 co-authors