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Picture for Michael Schaarschmidt

Very Deep Graph Neural Networks Via Noise Regularisation

Jun 15, 2021
Jonathan Godwin, Michael Schaarschmidt, Alexander Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Veličković, James Kirkpatrick, Peter Battaglia

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Learning Index Selection with Structured Action Spaces

Sep 16, 2019
Jeremy Welborn, Michael Schaarschmidt, Eiko Yoneki

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Wield: Systematic Reinforcement Learning With Progressive Randomization

Sep 15, 2019
Michael Schaarschmidt, Kai Fricke, Eiko Yoneki

* 10 pages, draft paper 

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RLgraph: Flexible Computation Graphs for Deep Reinforcement Learning

Oct 21, 2018
Michael Schaarschmidt, Sven Mika, Kai Fricke, Eiko Yoneki

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LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

Aug 23, 2018
Michael Schaarschmidt, Alexander Kuhnle, Ben Ellis, Kai Fricke, Felix Gessert, Eiko Yoneki

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Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization

Dec 01, 2016
Valentin Dalibard, Michael Schaarschmidt, Eiko Yoneki

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Learning Runtime Parameters in Computer Systems with Delayed Experience Injection

Oct 31, 2016
Michael Schaarschmidt, Felix Gessert, Valentin Dalibard, Eiko Yoneki

* Deep Reinforcement Learning Workshop, NIPS 2016 

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