DJ Strouse

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Character N Grams

Social Influence

Neural Architecture

Information Bottleneck

Top Venues

Publications

Aaditya K. Singh, DJ Strouse
Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs. CoRR (2024)
Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer
Confronting Reward Model Overoptimization with Constrained RLHF. ICLR (2024)
Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer
Confronting Reward Model Overoptimization with Constrained RLHF. CoRR (2023)
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
In-context Reinforcement Learning with Algorithm Distillation. ICLR (2023)
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
Semantic Exploration from Language Abstractions and Pretrained Representations. CoRR (2022)
DJ Strouse, Kate Baumli, David Warde-Farley, Volodymyr Mnih, Steven Stenberg Hansen
Learning more skills through optimistic exploration. ICLR (2022)
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill
Semantic Exploration from Language Abstractions and Pretrained Representations. NeurIPS (2022)
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
In-context Reinforcement Learning with Algorithm Distillation. CoRR (2022)
John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo
Melting Pot 2.0. CoRR (2022)
DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen
Learning more skills through optimistic exploration. CoRR (2021)
DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
Collaborating with Humans without Human Data. CoRR (2021)
DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
Collaborating with Humans without Human Data. NeurIPS (2021)
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML (2019)
Xundong Wu, Gabriel C. Mel, DJ Strouse, Bartlett W. Mel
How Dendrites Affect Online Recognition Memory. PLoS Comput. Biol. 15 (5) (2019)
DJ Strouse, David J. Schwab
The Information Bottleneck and Geometric Clustering. Neural Comput. 31 (3) (2019)
Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach
A Neural Architecture for Designing Truthful and Efficient Auctions. CoRR (2019)
DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew Botvinick, David J. Schwab
Learning to Share and Hide Intentions using Information Regularization. CoRR (2018)
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR (2018)
DJ Strouse, David J. Schwab
The information bottleneck and geometric clustering. CoRR (2017)
DJ Strouse, David J. Schwab
The Deterministic Information Bottleneck. Neural Comput. 29 (6) (2017)
DJ Strouse, David J. Schwab
The deterministic information bottleneck. CoRR (2016)
DJ Strouse, David J. Schwab
The Deterministic Information Bottleneck. UAI (2016)