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Learning to Learn for Global Optimization of Black Box Functions.

Y. Chen, M. Hoffman, S. Colmenarejo, M. Denil, T. Lillicrap, and N. de Freitas. CoRR, (2016)

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P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights.A. Samadi, T. Lillicrap, and D. Tweed. Neural Computation, 29 (3): 578-602 (2017)Matching Networks for One Shot Learning.O. Vinyals, C. Blundell, T. Lillicrap, K. Kavukcuoglu, and D. Wierstra. CoRR, (2016)StarCraft II: A New Challenge for Reinforcement Learning.O. Vinyals, T. Ewalds, S. Bartunov, P. Georgiev, A. Vezhnevets, M. Yeo, A. Makhzani, H. Küttler, J. Agapiou, J. Schrittwieser and 15 other author(s). CoRR, (2017)Learning to Learn for Global Optimization of Black Box Functions.Y. Chen, M. Hoffman, S. Colmenarejo, M. Denil, T. Lillicrap, and N. de Freitas. CoRR, (2016)Learning Continuous Control Policies by Stochastic Value Gradients.N. Heess, G. Wayne, D. Silver, T. Lillicrap, Y. Tassa, and T. Erez. CoRR, (2015)One-shot Learning with Memory-Augmented Neural Networks.A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. CoRR, (2016)Meta-Learning with Memory-Augmented Neural Networks.A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1842-1850. JMLR.org, (2016)Learning Latent Dynamics for Planning from Pixels.D. Hafner, T. Lillicrap, I. Fischer, R. Villegas, D. Ha, H. Lee, and J. Davidson. ICML, volume 97 of Proceedings of Machine Learning Research, page 2555-2565. PMLR, (2019)Distributed Distributional Deterministic Policy Gradients.G. Barth-Maron, M. Hoffman, D. Budden, W. Dabney, D. Horgan, D. TB, A. Muldal, N. Heess, and T. Lillicrap. ICLR (Poster), OpenReview.net, (2018)Continuous control with deep reinforcement learning.T. Lillicrap, J. Hunt, A. Pritzel, N. Heess, T. Erez, Y. Tassa, D. Silver, and D. Wierstra. ICLR (Poster), (2016)

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Disambiguation of "Lillicrap, Timothy P."

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Learning to Learn for Global Optimization of Black Box Functions.

Please choose a person to relate this publication to

P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Lillicrap, Timothy P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning to Learn for Global Optimization of Black Box Functions.

Please choose a person to relate this publication to

P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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Learning to Learn for Global Optimization of Black Box Functions.