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Timothy P. Lillicrap

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Episodic Curiosity through Reachability

Nikolay Savinov, Anton Raichuk, Damien Vincent,RaphaÃ«l Marinier, Marc Pollefeys,Timothy Lillicrap,Sylvain Gelly

ICLR, (2019)

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Using Weight Mirrors to Improve Feedback Alignment

Mohamed Akrout, Collin Wilson, Peter C. Humphreys,Timothy Lillicrap,Douglas Tweed

arXiv: Learning, (2019)

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Unsupervised Predictive Memory in a Goal-Directed Agent

Greg Wayne,Chia-Chun Hung, David Amos,Mehdi Mirza,Arun Ahuja,Agnieszka Grabska-Barwinska, Jack W. Rae,Piotr Mirowski,Joel Z. Leibo,Adam Santoro, Mevlana Gemici, Malcolm Reynolds

arXiv: Learning, (2018)

Cited by85EIBibtex

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

Danijar Hafner,Dustin Tran, Alex Irpan,Timothy P. Lillicrap,James Davidson

arXiv: Machine Learning, (2018)

Cited by34EIBibtex

Discovering objects and their relations from entangled scene representations

David Raposo,Adam Santoro, David Barrett,Razvan Pascanu,Timothy P. Lillicrap,Peter W. Battaglia

ICLR, (2017)

Cited by27EIBibtex

StarCraft II: A New Challenge for Reinforcement Learning

Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev,Alexander Sasha Vezhnevets, Michelle Yeo,Alireza Makhzani,Heinrich Küttler, John Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney

arXiv: Learning, (2017)

Cited by392EIBibtex

Generative Temporal Models with Memory

Mevlana Gemici,Chia-Chun Hung,Adam Santoro,Greg Wayne,Shakir Mohamed,Danilo Jimenez Rezende, David Amos,Timothy P. Lillicrap

arXiv: Learning, (2017)

Cited by14EIBibtex

Deep learning with segregated dendrites

Jordan Guergiuev,Timothy P. Lillicrap,Blake A. Richards

arXiv: Neurons and Cognition, (2016)

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