Matt was elected to serve as one of the 27 members of the IFAAMAS Board of directors.
We had a paper accepted at ICML-14: Online Multi-Task Learning for Policy Gradient Methods by Haitham Bou Ammar, Paul Ruvolo, Matthew E. Taylor, and Eric Eaton
We a grateful to have received a pair of grants from the Air Force Research Labs:
We have two papers at AAAI-14:
We have two (full) papers at the Adaptive and Learning Agents (ALA) workshop at AAMAS-14:
Our paper has been accetped to the IEEE International Joint Conference on Neural Networks (IJCNN-14): Multi-Objectivization of Reinforcement Learning Problems by Reward Shaping by Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko and Ann Nowe.
Our paper has been accepted to the 8th Hellenic Conference on Artificial Intelligence (SETN 2014): An Autonomous Transfer Learning Algorithm for TD-Learners by Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, and Ioannis Vlahavas.
Our work has been has been accepted to the journal Connection Science:
I have worked with Milind Tambe as part of the TEAMCORE research group and am also a former member of the Learning Agents Research Group, directed by Peter Stone.
My research focuses on agents, physical or virtual entities that interact with their environments. My main goals are to enable individual agents, and teams of agents, to
Spring 2014: CptS 580-03: Intelligent Agents
Fall 2013: CptS 483: Introduction to Robotics
Previous courses: here
View my CV as: pdf
Matthew E. Taylor graduated magna cum laude with a double major in computer science and physics from Amherst College in 2001. After working for two years as a software developer, he began his Ph.D. work at the University of Texas at Austin with an MCD fellowship from the College of Natural Sciences. He received his doctorate from the Department of Computer Sciences in the summer of 2008, supervised by Peter Stone. Matt then completed a two 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 in the computer science department. He is currently an assistant professor at Washington State University in the School of Electrical Engineering and Computer Science and is a recipient of the National Science Foundation CAREER award. Current research interests include intelligent agents, multi-agent systems, reinforcement learning, transfer learning, and robotics.