Microsoft Research Blog

First TextWorld Problems—Microsoft Research Montreal’s latest AI competition is really cooking 

December 11, 2018 | Wendy Tay and Adam Trischler
This week, Microsoft Research threw down the gauntlet with the launch of a competition challenging researchers around the world to develop AI agents that can solve text-based games. Conceived by the Machine Reading Comprehension team at Microsoft Research Montreal, the competition—First TextWorld Problems: A Reinforcement…

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    December 10, 2018 | Zeyuan Allen-Zhu, Yuanzhi Li, and Zhao Song

    One empirical finding in deep learning is that simple methods such as stochastic gradient descent (SGD) have a remarkable ability to fit training data. From a capacity perspective, this may not be surprising— modern neural networks are heavily over-parameterized, with the number of parameters much…

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    Unlikely research area reveals surprising twist in non-smooth optimization 

    December 4, 2018 | Sébastien Bubeck

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  3. The Microsoft Simple Encrypted Arithmetic Library goes open source

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  4. Discovering the best neural architectures in the continuous space

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    November 29, 2018 | Alex Gaunt, Marc Brockschmidt, and Miltos Allamanis

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    Hyperscale cloud reliability and the art of organic collaboration 

    November 20, 2018

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  7. Malmo competition

    Challenge accepted—MARLÖ competition among conference highlights 

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    With the latest Project Malmo competition, we’re calling on researchers and engineers to test the limits of their thinking as it pertains to artificial intelligence, particularly multi-task, multi-agent reinforcement learning. Last week, a group of attendees at the 14th Conference on Artificial Intelligence and Interactive…

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