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Imagination-Augmented Agents for Deep Reinforcement Learning.

S. Racanière, T. Weber, D. Reichert, L. Buesing, A. Guez, D. Rezende, A. Badia, O. Vinyals, N. Heess, Y. Li, R. Pascanu, P. Battaglia, D. Hassabis, D. Silver, and D. Wierstra. NIPS, page 5690-5701. (2017)

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David Reichert

David P Henry

Johannes Reichert

Methodik zur Verbesserung der Ergebnisqualität bei der IT-gestützten Fabrikplanung im Rahmen der digitalen FabrikJ. Reichert. TU Clausthal-Zellerfeld, (2009)

P Günther

P Kock

Other publications of authors with the same name

The Predictron: End-To-End Learning and Planning.D. Silver, H. van Hasselt, M. Hessel, T. Schaul, A. Guez, T. Harley, G. Dulac-Arnold, D. Reichert, N. Rabinowitz, A. Barreto and 1 other author(s). CoRR, (2016)Automated curriculum generation through setter-solver interactions.S. Racanière, A. Lampinen, A. Santoro, D. Reichert, V. Firoiu, and T. Lillicrap. ICLR, OpenReview.net, (2020)Deep reinforcement learning with relational inductive biases.V. Zambaldi, D. Raposo, A. Santoro, V. Bapst, Y. Li, I. Babuschkin, K. Tuyls, D. Reichert, T. Lillicrap, E. Lockhart and 6 other author(s). ICLR (Poster), OpenReview.net, (2019)Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents.J. Wang, M. King, N. Porcel, Z. Kurth-Nelson, T. Zhu, C. Deck, P. Choy, M. Cassin, M. Reynolds, H. Song and 7 other author(s). NeurIPS Datasets and Benchmarks, (2021)Imagination-Augmented Agents for Deep Reinforcement Learning.T. Weber, S. Racanière, D. Reichert, L. Buesing, A. Guez, D. Rezende, A. Badia, O. Vinyals, N. Heess, Y. Li and 4 other author(s). CoRR, (2017)A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex.D. Reichert, P. Seriès, and A. Storkey. ICANN (1), volume 6791 of Lecture Notes in Computer Science, page 18-25. Springer, (2011)Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?D. Reichert, P. Seriès, and A. Storkey. PLoS Comput. Biol., (2013)Automated curricula through setter-solver interactions.S. Racanière, A. Lampinen, A. Santoro, D. Reichert, V. Firoiu, and T. Lillicrap. CoRR, (2019)Alchemy: A structured task distribution for meta-reinforcement learning.J. Wang, M. King, N. Porcel, Z. Kurth-Nelson, T. Zhu, C. Deck, P. Choy, M. Cassin, M. Reynolds, H. Song and 7 other author(s). CoRR, (2021)Learning model-based planning from scratch.R. Pascanu, Y. Li, O. Vinyals, N. Heess, L. Buesing, S. Racanière, D. Reichert, T. Weber, D. Wierstra, and P. Battaglia. CoRR, (2017)

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Disambiguation of "Reichert, David P."

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Imagination-Augmented Agents for Deep Reinforcement Learning.

Please choose a person to relate this publication to

David Reichert

David P Henry

Johannes Reichert

P Günther

P Kock

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Reichert, David P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Imagination-Augmented Agents for Deep Reinforcement Learning.

Please choose a person to relate this publication to

David Reichert

David P Henry

Johannes Reichert

P Günther

P Kock

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
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Imagination-Augmented Agents for Deep Reinforcement Learning.