DJ Strouse

Researcher, OpenAI

Joined

September 2018

Names

DJ Strouse (Preferred)

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

****@openai.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

OpenAI (openai.com)

2024 – Present

Research Scientist

DeepMind (google.com)

2019 – 2024

PhD student

Princeton University (princeton.edu)

2012 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

reinforcement learning

deep learning

multi-agent reinforcement learning

information theory

Present

Publications

Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings
Jascha Achterberg, Danyal Akarca, DJ Strouse, John Duncan, Duncan Astle
- Nature Machine Intelligence
- Readers: Everyone
Confronting Reward Model Overoptimization with Constrained RLHF
Ted Moskovitz, Aaditya Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca Dragan, Stephen McAleer
- FMDM@NeurIPS2023
- Readers: Everyone
Confronting Reward Model Overoptimization with Constrained RLHF
Ted Moskovitz, Aaditya K Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca Dragan, Stephen Marcus McAleer
- ICLR 2024 spotlight
- Readers: Everyone
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, maxime gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
- Published: 01 Feb 2023, Last Modified: 27 Feb 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
Semantic Exploration from Language Abstractions and Pretrained Representations
Allison Tam, Neil Charles Rabinowitz, Andrew Kyle Lampinen, Nicholas Andrew Roy, Stephanie C.Y. Chan, DJ Strouse, Jane X Wang, Andrea Banino, Felix Hill
- Published: 31 Oct 2022, Last Modified: 15 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Learning Truthful, Efficient, and Welfare Maximizing Auction Rules
Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach
- Published: 25 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 Workshop on Gamification and Multiagent Solutions
- Readers: Everyone
Semantic Exploration from Language Abstractions and Pretrained Representations
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane X. Wang, Andrea Banino, Felix Hill
- 2022 (modified: 10 Jun 2022)
- CoRR 2022
- Readers: Everyone
Learning more skills through optimistic exploration
DJ Strouse, Kate Baumli, David Warde-Farley, Volodymyr Mnih, Steven Stenberg Hansen
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Spotlight
- Readers: Everyone

View all 19 publications

Co-Authors

View all 67 co-authors