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Mastering the game of Go with deep neural networks and tree search.

D. Silver, A. Huang, C. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, and D. Hassabis. Nature, 529 (7587): 484-489 (2016)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dr. Marie Davidova University of Stuttgart

David Krach University of Stuttgart

Digital Rock Physics : A Geological Driven Workflow for the Segmentation of Anisotropic Ruhr SandstoneM. Balcewicz, M. Siegert, M. Gurris, M. Ruf, D. Krach, H. Steeb, and E. Saenger. Frontiers in Earth Science, (2021)Permeability Estimation of Regular Porous Structures : A Benchmark for Comparison of MethodsA. Wagner, E. Eggenweiler, F. Weinhardt, Z. Trivedi, D. Krach, C. Lohrmann, K. Jain, N. Karadimitriou, C. Bringedal, P. Voland and 4 other author(s). Transport in porous media, 138 (1): 1-23 (2021)Simulation of weak-inertia single-phase flow in porous materials using Smoothed Particle HydrodynamicsD. Krach, and H. Steeb. PAMM, 20 (1): e202000289 (2021)

David Inkermann

David Briesenick University of Stuttgart

David Gudnason University of Stuttgart

Other publications of authors with the same name

Temporal-Difference Search in Computer Go.D. Silver, R. Sutton, and M. Müller. ICAPS, AAAI, (2013)Monte-Carlo Planning in Large POMDPs.D. Silver, and J. Veness. NIPS, page 2164-2172. Curran Associates, Inc., (2010)On Inductive Biases in Deep Reinforcement Learning.M. Hessel, H. van Hasselt, J. Modayil, and D. Silver. CoRR, (2019)Massively Parallel Methods for Deep Reinforcement Learning.A. Nair, P. Srinivasan, S. Blackwell, C. Alcicek, R. Fearon, A. Maria, V. Panneershelvam, M. Suleyman, C. Beattie, S. Petersen and 4 other author(s). CoRR, (2015)Learning functions across many orders of magnitudes.H. van Hasselt, A. Guez, M. Hessel, and D. Silver. CoRR, (2016)Gradient Temporal Difference Networks.D. Silver. EWRL, volume 24 of JMLR Proceedings, page 117-130. JMLR.org, (2012)Learning to Search with MCTSnets.A. Guez, T. Weber, I. Antonoglou, K. Simonyan, O. Vinyals, D. Wierstra, R. Munos, and D. Silver. ICML, volume 80 of Proceedings of Machine Learning Research, page 1817-1826. PMLR, (2018)Credit Assignment Techniques in Stochastic Computation Graphs.T. Weber, N. Heess, L. Buesing, and D. Silver. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2650-2660. PMLR, (2019)Fictitious Self-Play in Extensive-Form Games.J. Heinrich, M. Lanctot, and D. Silver. ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 805-813. JMLR.org, (2015)Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search.A. Guez, D. Silver, and P. Dayan. J. Artif. Intell. Res., (2013)

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Disambiguation of "Silver, David"

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Mastering the game of Go with deep neural networks and tree search.

Please choose a person to relate this publication to

Dr. Marie Davidova University of Stuttgart

David Krach University of Stuttgart

David Inkermann

David Briesenick University of Stuttgart

David Gudnason University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Silver, David"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Mastering the game of Go with deep neural networks and tree search.

Please choose a person to relate this publication to

Dr. Marie Davidova University of Stuttgart

David Krach University of Stuttgart

David Inkermann

David Briesenick University of Stuttgart

David Gudnason University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
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APA
Chicago
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Mastering the game of Go with deep neural networks and tree search.