Ryan Faulkner

Researcher, DeepMind

PhD student, Computer Science, University of Toronto

Joined

May 2020

Names

Ryan Faulkner (Preferred)

Emails

****@google.com (Confirmed)

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

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

DeepMind (deepmind.com)

2015 – Present

PhD student

Computer Science, University of Toronto (utoronto.ca)

2025 – 2029

MS student

McGill University (mcgill.ca)

2008 – 2010

Advisors, Relations & Conflicts

Coworker

Joel Z Leibo

2015 – Present

PhD Advisor

Zhijing Jin

2025 – 2029

Expertise

Multi-Agent Systems

2025 – Present

Simulating Social and Political dynamics

2025 – Present

Language Models

2018 – Present

Reinforcement Learning

2008 – Present

Memory Systems

2015 – 2019

Publications

Evaluating Cooperation in LLM Social Groups through Elected Leadership
Ryan Faulkner, Anushka Deshpande, David Guzman Piedrahita, Joel Z Leibo, Zhijing Jin
- MALGAI
- Readers: Everyone
Solving Reasoning Tasks with a Slot Transformer
Ryan Faulkner, Daniel Zoran
- arXiv
- Readers: Everyone
Rapid Task-Solving in Novel Environments
Samuel Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matthew Botvinick, David Raposo
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
- 2019 (modified: 11 Jan 2023)
- CoRR 2019
- Readers: Everyone
Interval timing in deep reinforcement learning agents
Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo
- 2019 (modified: 08 Nov 2022)
- NeurIPS 2019
- Readers: Everyone
Interval timing in deep reinforcement learning agents
Ben Deverett, Ryan Faulkner, Meire Fortunato, Greg Wayne, Joel Z. Leibo
- 2019 (modified: 11 Jan 2023)
- CoRR 2019
- Readers: Everyone
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding et al. (7 additional authors not shown)
- 2019 (modified: 30 Apr 2026)
- CoRR 2019
- Readers: Everyone
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
- 2019 (modified: 08 Nov 2022)
- NeurIPS 2019
- Readers: Everyone
Relational inductive biases, deep learning, and graph networks.
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer et al. (7 additional authors not shown)
- 2018 (modified: 09 Nov 2022)
- CoRR2018
- Readers: Everyone
Relational recurrent neural networks
Adam Santoro, Ryan Faulkner, David Raposo, Jack W. Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy P. Lillicrap
- 2018 (modified: 08 Nov 2022)
- NeurIPS 2018
- Readers: Everyone

View all 14 publications

Co-Authors

View all 88 co-authors