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RLgraph: Modular Computation Graphs for Deep Reinforcement Learning.

M. Schaarschmidt, S. Mika, K. Fricke, and E. Yoneki. MLSys, mlsys.org, (2019)

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Christian Schaarschmidt

Tilman Schaarschmidt

Ernst Schaarschmidt

Traute Schaarschmidt

Harti Schaarschmidt

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RLgraph: Modular Computation Graphs for Deep Reinforcement Learning.M. Schaarschmidt, S. Mika, K. Fricke, and E. Yoneki. MLSys, mlsys.org, (2019)Towards Automated Polyglot Persistence.M. Schaarschmidt, F. Gessert, and N. Ritter. BTW, volume P-241 of LNI, page 73-82. GI, (2015)Reinforcement Learning for the Adaptive Scheduling of Educational Activities.J. Bassen, B. Balaji, M. Schaarschmidt, C. Thille, J. Painter, D. Zimmaro, A. Games, E. Fast, and J. Mitchell. CHI, page 1-12. ACM, (2020)Pre-training via Denoising for Molecular Property Prediction.S. Zaidi, M. Schaarschmidt, J. Martens, H. Kim, Y. Teh, A. Sanchez-Gonzalez, P. Battaglia, R. Pascanu, and J. Godwin. ICLR, OpenReview.net, (2023)Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR.S. Alabed, D. Grewe, J. Franco, B. Chrzaszcz, T. Natan, T. Norman, N. Rink, D. Vytiniotis, and M. Schaarschmidt. CoRR, (2022)PartIR: Composing SPMD Partitioning Strategies for Machine Learning.S. Alabed, B. Chrzaszcz, J. Franco, D. Grewe, D. Maclaurin, J. Molloy, T. Natan, T. Norman, X. Pan, A. Paszke and 6 other author(s). CoRR, (2024)Automatic Checking of Component Protocols in Component-Based Systems.W. Zimmermann, and M. Schaarschmidt. SC@ETAPS, volume 4089 of Lecture Notes in Computer Science, page 1-17. Springer, (2006)Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond.J. Godwin, M. Schaarschmidt, A. Gaunt, A. Sanchez-Gonzalez, Y. Rubanova, P. Velickovic, J. Kirkpatrick, and P. Battaglia. ICLR, OpenReview.net, (2022)Learned Force Fields Are Ready For Ground State Catalyst Discovery.M. Schaarschmidt, M. Riviere, A. Ganose, J. Spencer, A. Gaunt, J. Kirkpatrick, S. Axelrod, P. Battaglia, and J. Godwin. CoRR, (2022)Very Deep Graph Neural Networks Via Noise Regularisation.J. Godwin, M. Schaarschmidt, A. Gaunt, A. Sanchez-Gonzalez, Y. Rubanova, P. Velickovic, J. Kirkpatrick, and P. Battaglia. CoRR, (2021)

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Disambiguation of "Schaarschmidt, Michael"

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RLgraph: Modular Computation Graphs for Deep Reinforcement Learning.

Please choose a person to relate this publication to

Christian Schaarschmidt

Tilman Schaarschmidt

Ernst Schaarschmidt

Traute Schaarschmidt

Harti Schaarschmidt

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Schaarschmidt, Michael"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RLgraph: Modular Computation Graphs for Deep Reinforcement Learning.

Please choose a person to relate this publication to

Christian Schaarschmidt

Tilman Schaarschmidt

Ernst Schaarschmidt

Traute Schaarschmidt

Harti Schaarschmidt

Other publications of authors with the same name

Disambiguation

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RLgraph: Modular Computation Graphs for Deep Reinforcement Learning.