Biography:Geoffrey J. Gordon
From HandWiki
Geoff Gordon | |
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| Awards | |
| Academic background | |
| Education |
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| Alma mater | Carnegie Mellon University (PhD) |
| Thesis | Approximate Solutions to Markov Decision Processes (1999) |
| Doctoral advisor | Tom M. Mitchell |
| Academic work | |
| Institutions | Carnegie Mellon University |
| Doctoral students |
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| Website | https://www.cs.cmu.edu/~ggordon/ |
Geoffrey J. Gordon is a professor at the Machine Learning Department at Carnegie Mellon University in Pittsburgh[3] and director of research at the Microsoft Montréal lab.[4][5][6][7][8][9] He is known for his research in statistical relational learning[10] (a subdiscipline of artificial intelligence and machine learning) and on anytime dynamic variants of the A* search algorithm.[11] His research interests include multi-agent planning, reinforcement learning, decision-theoretic planning, statistical models of difficult data (e.g. maps, video, text), computational learning theory, and game theory.
Gordon received a B.A. in computer science from Cornell University in 1991, and a PhD at Carnegie Mellon in 1999.[9]
References
- ↑ Gordon, Geoffrey J. (4 April 1996). "Chattering in SARSA(λ)". https://www.cs.cmu.edu/~ggordon/chatter.ps.gz.
- ↑ "Award Offers and Honorable Mentions List". https://www.research.gov/grfp/AwardeeList.do?method=loadAwardeeList.
- ↑ "Geoff's Home Page". https://www.cs.cmu.edu/~ggordon/.
- ↑ Wood, Eric Emin (January 24, 2018). "Microsoft appoints Carnegie Mellon professor to head expanded Montreal AI research lab". itbusiness.ca. https://www.itbusiness.ca/news/microsoft-appoints-carnegie-mellon-professor-to-head-expanded-montreal-ai-research-lab/98707.
- ↑ Coop, Alex (January 25, 2018). "Leaders in Davos acknowledge AI’s potential for good, but point to unanswered questions". itbusiness.ca. https://www.itbusiness.ca/news/leaders-in-davos-acknowledge-ais-potential-for-good-but-point-to-unanswered-questions/98724.
- ↑ Teja, Salim (March 13, 2018). "Here's Why Canada Can Win The AI Race". Forbes. https://www.forbes.com/sites/forbestechcouncil/2018/03/13/heres-why-canada-can-win-the-ai-race/#26b1c277c9b7.
- ↑ George-Cosh, David (February 8, 2018). "Canadian Tech Sector Thrives, but Struggles to Keep Its Talent". Wall Street Journal. https://www.wsj.com/articles/canadian-tech-sector-thrives-but-struggles-to-keep-its-talent-1518091201.
- ↑ Thorp-Lancaster, Dan (January 24, 2018). "Microsoft announces expansion of Montreal AI research lab". Windows Central. https://www.windowscentral.com/microsoft-announces-expansion-montreal-ai-research-lab.
- ↑ 9.0 9.1 "Geoff Gordon" (in en-US). https://www.microsoft.com/en-us/research/people/ggordon/.
- ↑ Singh, Ajit P.; Gordon, Geoffrey J. (1) (2008), "Relational Learning via Collective Matrix Factorization", Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '08, New York, NY, USA: ACM, pp. 650–658, doi:10.1145/1401890.1401969, ISBN 978-1-60558-193-4
- ↑ 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.
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