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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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Beatrix Weber

Sprachlicher Ausbau: konzeptionelle Studien zur spätmittelenglischen SchriftspracheB. Weber. TU Dresden, (2009)

Dr. sc. ed. Jeremias Weber

Heinz Weber

Ulrich Weber

Klaus Weber

Other publications of authors with the same name

Learning model-based planning from scratchR. Pascanu, Y. Li, O. Vinyals, N. Heess, L. Buesing, S. Racanière, D. Reichert, T. Weber, D. Wierstra, and P. Battaglia. (2017)cite arxiv:1707.06170.To Wave or Not to Wave? Order Release Policies for Warehouses with an Automated Sorter.J. Gallien, and T. Weber. Manuf. Serv. Oper. Manag., 12 (4): 642-662 (2010)An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony.J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki. ICONIP (1), volume 5506 of Lecture Notes in Computer Science, page 318-326. Springer, (2008)An Investigation of Model-Free Planning.A. Guez, M. Mirza, K. Gregor, R. Kabra, S. Racanière, T. Weber, D. Raposo, A. Santoro, L. Orseau, T. Eccles and 3 other author(s). ICML, volume 97 of Proceedings of Machine Learning Research, page 2464-2473. PMLR, (2019)On the role of planning in model-based deep reinforcement learning.J. Hamrick, A. Friesen, F. Behbahani, A. Guez, F. Viola, S. Witherspoon, T. Anthony, L. Buesing, P. Velickovic, and T. Weber. ICLR, OpenReview.net, (2021)Visual Interaction Networks: Learning a Physics Simulator from Video.N. Watters, D. Zoran, T. Weber, P. Battaglia, R. Pascanu, and A. Tacchetti. NIPS, page 4539-4547. (2017)Single-Agent Policy Tree Search With Guarantees.L. Orseau, L. Lelis, T. Lattimore, and T. Weber. NeurIPS, page 3205-3215. (2018)Gradient Estimation Using Stochastic Computation Graphs.J. Schulman, N. Heess, T. Weber, and P. Abbeel. NIPS, page 3528-3536. (2015)A case for new neural network smoothness constraints.M. Rosca, T. Weber, A. Gretton, and S. Mohamed. ICBINB@NeurIPS, volume 137 of Proceedings of Machine Learning Research, page 21-32. PMLR, (2020)Muesli: Combining Improvements in Policy Optimization.M. Hessel, I. Danihelka, F. Viola, A. Guez, S. Schmitt, L. Sifre, T. Weber, D. Silver, and H. van Hasselt. ICML, volume 139 of Proceedings of Machine Learning Research, page 4214-4226. PMLR, (2021)

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Disambiguation of "Weber, Theophane"

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Imagination-Augmented Agents for Deep Reinforcement Learning.

Please choose a person to relate this publication to

Beatrix Weber

Dr. sc. ed. Jeremias Weber

Heinz Weber

Ulrich Weber

Klaus Weber

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Weber, Theophane"

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

Beatrix Weber

Dr. sc. ed. Jeremias Weber

Heinz Weber

Ulrich Weber

Klaus Weber

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
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MSOffice XML

Imagination-Augmented Agents for Deep Reinforcement Learning.