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Melting Pot 2.0


Nov 24, 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 B. Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo

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* 47 pages, 4 figures. arXiv admin note: text overlap with arXiv:2107.06857 

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In-context Reinforcement Learning with Algorithm Distillation


Oct 25, 2022
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih

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Semantic Exploration from Language Abstractions and Pretrained Representations


Apr 08, 2022
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

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Collaborating with Humans without Human Data


Oct 15, 2021
DJ Strouse, Kevin R. McKee, Matt Botvinick, Edward Hughes, Richard Everett

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* Accepted at NeurIPS 2021 (spotlight) 

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Learning more skills through optimistic exploration


Jul 29, 2021
DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen

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* Steven Hansen and DJ Strouse contributed equally to this work 

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A Neural Architecture for Designing Truthful and Efficient Auctions


Jul 11, 2019
Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach

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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL


Oct 19, 2018
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas

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Learning to Share and Hide Intentions using Information Regularization


Aug 06, 2018
DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matt Botvinick, David Schwab

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The deterministic information bottleneck


Dec 19, 2016
DJ Strouse, David J Schwab

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* 15 pages, 4 figures 

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