Nando de Freitas

Principal Scientist, DeepMind

Joined

September 2016

Names

Nando de Freitas (Preferred)

Nando Freitas

Emails

****@google.com (Confirmed)

****@cs.ubc.ca (Confirmed)

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

Personal Links

Google Scholar

DBLP

Career & Education History

Principal Scientist

DeepMind (google.com)

Present

Advisors, Relations & Conflicts

Coauthor

Hugo Larochelle

2011 – 2014

Coauthor

Vittorio Murino

2011 – 2014

Coauthor

Zichao Yang

2011 – 2014

Coauthor

Benjamin Marlin

2011 – 2014

Coauthor

Matthew Hoffman

2011 – 2014

Coauthor

Kevin Swersky

2011 – 2014

Coauthor

Marc'aurelio Ranzato

2011 – 2014

Coauthor

Misha Denil

2011 – 2014

Coauthor

Max Welling

2011 – 2014

Coauthor

Loris Bazzani

2011 – 2014

Coauthor

Julieta Martinez

2011 – 2014

Coauthor

Kevin Murphy

2011 – 2014

Coauthor

Alex Smola

2011 – 2014

Coauthor

Ziyu Wang

2011 – 2014

Coauthor

Le Song

2011 – 2014

Coauthor

Marcin Moczulski

2011 – 2014

Coauthor

Jim Little

2011 – 2014

Coauthor

Loris Bazzani

2011 – 2014

Coauthor

David g Lowe

2004 – 2004

Coauthor

David Forsyth

2003 – 2003

Expertise

Deep learning

reinforcement learning

memory

program induction

abstraction

concepts

control

intuitive physics

robotics

attention

Present

Publications

Genie: Generative Interactive Environments
Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Maria Elisabeth Bechtle, Feryal Behbahani, Stephanie C.Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang et al. (5 additional authors not shown)
- ICML 2024 Oral
- Readers: Everyone
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matthew Hoffman
- Published: 03 Mar 2023, Last Modified: 21 Apr 2023
- RRL 2023 Poster
- Readers: Everyone
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
Lucio M. Dery, Abram L. Friesen, Nando de Freitas, MarcAurelio Ranzato, Yutian Chen
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
A Generalist Agent
Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-maron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas
- Accepted by TMLR
- Readers: Everyone
Towards Learning Universal Hyperparameter Optimizers with Transformers
Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, MarcAurelio Ranzato, Sagi Perel, Nando de Freitas
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
StarCraft II Unplugged: Large Scale Offline Reinforcement Learning
Michael Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Caglar Gulcehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Konrad Zolna, Richard Powell, Julian Schrittwieser, David Choi, Petko Georgiev, Daniel Kenji Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo et al. (4 additional authors not shown)
- 12 Oct 2021 (modified: 05 May 2023)
- Deep RL Workshop NeurIPS 2021
- Readers: Everyone
Active Offline Policy Selection
Ksenia Konyushkova, Yutian Chen, Thomas Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel J Mankowitz, Misha Denil, Nando de Freitas
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Addressing Extrapolation Error in Deep Offline Reinforcement Learning
Caglar Gulcehre, Sergio Gómez Colmenarejo, ziyu wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew Hoffman, Razvan Pascanu, Nando de Freitas
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Learning Deep Features in Instrumental Variable Regression
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Poster
- Readers: Everyone
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone

View all 50 publications

Co-Authors

View all 166 co-authors