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DJ Strouse
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- affiliation: Princeton University, Physics Department
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Journal Articles
- 2019
- [j3]DJ Strouse, David J. Schwab:
The Information Bottleneck and Geometric Clustering. Neural Comput. 31(3) (2019) - [j2]Xundong Wu, Gabriel C. Mel, DJ Strouse, Bartlett W. Mel:
How Dendrites Affect Online Recognition Memory. PLoS Comput. Biol. 15(5) (2019) - 2017
- [j1]DJ Strouse, David J. Schwab:
The Deterministic Information Bottleneck. Neural Comput. 29(6): 1611-1630 (2017)
Conference and Workshop Papers
- 2024
- [c9]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 - 2023
- [c8]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 - 2022
- [c7]DJ Strouse, Kate Baumli, David Warde-Farley, Volodymyr Mnih, Steven Stenberg Hansen:
Learning more skills through optimistic exploration. ICLR 2022 - [c6]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 - 2021
- [c5]DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett:
Collaborating with Humans without Human Data. NeurIPS 2021: 14502-14515 - 2019
- [c4]Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew M. Botvinick, Yoshua Bengio, Sergey Levine:
InfoBot: Transfer and Exploration via the Information Bottleneck. ICLR (Poster) 2019 - [c3]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: 3040-3049 - 2018
- [c2]Daniel Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab:
Learning to Share and Hide Intentions using Information Regularization. NeurIPS 2018: 10270-10281 - 2016
- [c1]DJ Strouse, David J. Schwab:
The Deterministic Information Bottleneck. UAI 2016
Informal and Other Publications
- 2024
- [i13]Aaditya K. Singh, DJ Strouse:
Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs. CoRR abs/2402.14903 (2024) - 2023
- [i12]Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer:
Confronting Reward Model Overoptimization with Constrained RLHF. CoRR abs/2310.04373 (2023) - 2022
- [i11]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 abs/2204.05080 (2022) - [i10]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 abs/2210.14215 (2022) - [i9]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 abs/2211.13746 (2022) - 2021
- [i8]DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen:
Learning more skills through optimistic exploration. CoRR abs/2107.14226 (2021) - [i7]DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett:
Collaborating with Humans without Human Data. CoRR abs/2110.08176 (2021) - 2019
- [i6]Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew M. Botvinick, Hugo Larochelle, Sergey Levine, Yoshua Bengio:
InfoBot: Transfer and Exploration via the Information Bottleneck. CoRR abs/1901.10902 (2019) - [i5]Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach:
A Neural Architecture for Designing Truthful and Efficient Auctions. CoRR abs/1907.05181 (2019) - 2018
- [i4]DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab:
Learning to Share and Hide Intentions using Information Regularization. CoRR abs/1808.02093 (2018) - [i3]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 abs/1810.08647 (2018) - 2017
- [i2]DJ Strouse, David J. Schwab:
The information bottleneck and geometric clustering. CoRR abs/1712.09657 (2017) - 2016
- [i1]DJ Strouse, David J. Schwab:
The deterministic information bottleneck. CoRR abs/1604.00268 (2016)
Coauthor Index
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