Geoffrey J. Gordon

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Geoffrey J. Gordon is a computer scientist and professor at the Machine Learning Department of Carnegie Mellon University in Pittsburgh and has been Research Director of the Microsoft Montréal lab since 2018. In the field of machine learning and artificial intelligence , he researches reinforcement learning , statistical and relational learning, and anytime variants of the A. * Search algorithm. An anytime algorithm can return a reasonably good solution even if it is interrupted, as it produces a result quickly and improves it later. In mid-2018, Microsoft Lab published TextWorld under an open source license. It generates games that can train an artificial neural network . Natural language and reinforcement learning don't really go together yet and the publication is intended to stimulate research in the area.

Gordon received a BA in computer science from Cornell University in 1991 and a PhD from Carnegie Mellon University in 1999.

Individual evidence

  1. Geoff's Home Page .
  2. Microsoft appoints Carnegie Mellon professor to head expanded Montreal AI research lab , itbusiness.ca, 2018-01-24
  3. Leaders in Davos acknowledge AI's potential for good, but point to unanswered questions , Justin Trudeau twittering about Gordons appointment from WEF , itbusiness.ca. 2018-01-24.
  4. Here's Why Canada Can Win The AI ​​Race , Forbes, 2018-03-13
  5. Canadian Tech Sector Thrives, but Struggles to Keep Its talent , Wall Street Journal, 2018-02-08.
  6. Microsoft announces expansion of Montreal AI research lab , windowscentral, 2018-01-24.
  7. a b Geoff Gordon ( en-US )
  8. ^ Gordon Geoffrey J. (1), Singh Ajit P .: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . In: Relational Learning via Collective Matrix Factorization . ACM, New York, NY, USA 2008, ISBN 978-1-60558-193-4 , pp. 650-658 (English).
  9. Likhachev, Maxim; Gordon, Geoff; Thrun, Sebastian. " ARA *: Anytime A * search with provable bounds on sub-optimality ". In S. Thrun, L. Saul, and B. Schölkopf, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS) , Cambridge, MA, 2003. MIT Press.
  10. Microsoft's new TextWorld framework generates games to train AI models , siliconANGLE, 2018-07-13.
  11. Text World Soource Code