WMG_agent
WMG is a transformer-based RL agent that attends to a dynamic set of vectors representing observed and recurrent state.
WMG is a transformer-based RL agent that attends to a dynamic set of vectors representing observed and recurrent state.
The 2020 EMEA and Latin America PhD Award recipients are undertaking research central to advancing today’s technology—training artificial agents to learn faster in new situations, designing new scalable machine learning algorithms for continual and federated…
This repository contains information about the cross-lingual evaluation benchmark XGLUE, which is composed of 11 tasks spans 19 languages.
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Many computer science researchers set their sights on building general AI technologies that could impact hundreds of millions – or even billions – of people. But Dr. Danielle Bragg, a senior researcher at MSR’s New…
What we can teach a model to do with natural language is dictated by the availability of data. Currently, we have a lot of labeled data for very few languages, making it difficult to train…