Abram L. Friesen

Research Scientist, DeepMind

Joined

November 2016

Names

Abram L. Friesen (Preferred)

Emails

****@cs.washington.edu (Confirmed)

****@google.com (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

DeepMind (google.com)

2019 – Present

PhD student

University of Washington (washington.edu)

2008 – 2018

Advisors, Relations & Conflicts

Coworker

Bobak Shahriari

2021 – Present

Coworker

Theophane Weber

2020 – Present

Coworker

Matt Hoffman

2019 – Present

Coworker

Nando de Freitas

2019 – Present

Coworker

Yutian Chen

2019 – Present

PhD Advisor

Pedro Domingos

2012 – 2018

Expertise

model-based reinforcement learning

2020 – Present

meta-learning

2019 – Present

sum-product networks

tractable models

graphical models

2013 – 2018

Publications

BOND: Aligning LLMs with Best-of-N Distillation
Pier Giuseppe Sessa, Robert Dadashi-Tazehozi, Leonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Rame, Bobak Shahriari, Sarah Perrin, Abram L. Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem
- ICLR 2025 Poster
- 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
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana L Borsa, Abram L. Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero
- Published: 23 Apr 2022, Last Modified: 26 May 2025
- ALOE@ICLR2022
- Readers: Everyone
Introducing Symmetries to Black Box Meta Reinforcement Learning
Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
- 12 Oct 2021 (modified: 05 May 2023)
- Deep RL Workshop NeurIPS 2021
- Readers: Everyone
Introducing Symmetries to Black Box Meta Reinforcement Learning
Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
- Published: 10 Dec 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Workshop MetaLearn Poster
- Readers: Everyone
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal, Abram L. Friesen, Theophane Weber, Andrea Banino, Nan Rosemary Ke, Adria Puigdomenech Badia, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P Lillicrap, Nicolas Heess, Charles Blundell
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
On the role of planning in model-based deep reinforcement learning
Jessica B Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Veličković, Theophane Weber
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Modular Meta-Learning with Shrinkage.
Yutian Chen, Abram L. Friesen, Feryal Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing
Abram L. Friesen, Pedro M. Domingos
- 2018 (modified: 11 Nov 2022)
- NeurIPS 2018
- Readers: Everyone

View all 16 publications

Co-Authors

View all 67 co-authors