Autor: Matthew E. Taylor

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Matthew E. Taylor (Matt) received his doctorate from the University of Texas at Austin in the summer of 2008, supervised by Peter Stone. He then completed a 2-year postdoctoral research position at the University of Southern California with Milind Tambe and spent 2.5 years as an assistant professor at Lafayette College. He was then an assistant professor at Washington State University, where he held the Allred Distinguished Professorship in Artificial Intelligence. In 2017, he temporarily left academia to help start an artificial intelligence lab in Edmonton, Alberta, with Borealis AI, the artificial intelligence research lab for the Royal Bank of Canada. He is now a tenured associate professor in computer science at the University of Alberta, a Fellow-in-Residence at the Alberta Machine Intelligence Institute, and remains an adjunct professor at Washington State University. He has (co-)supervised 8 graduated Ph.D. students and 10 graduated M.S. students as well as published over 125 peer-reviewed conference papers and journal articles. His current fundamental and applied research interests are in reinforcement learning, human-in-the-loop AI, multi-agent systems, and robotics.




2 Ebooks von Matthew E. Taylor

Edith Elkind & Yang Gao: Distributed Artificial Intelligence
This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020.The 9 full papers prese …
EPUB
Englisch
DRM
€57.61
Roozbeh Razavi-Far & Boyu Wang: Federated and Transfer Learning
This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the p …
PDF
Englisch
€149.79