Matthew E. Taylor
EME 137
509-335-6457 (but I prefer email)

Assistant Professor
Allred Distinguished Professorship in Artificial Intelligence
School of Electrical Engineering and Computer Science
Washington State University
Pullman, WA 99164
Director of the IRL Lab
If you'd like to meet (physically or virtually),
please schedule a meeting:

Publications       Research       Teaching       CV       Code       Links       Bio


Recent paper acceptances:
  • IJCAI-15: Reinforcement Learning from Demonstration through Shaping by Tim Brys, Anna Harutyunyan, Halit Suay, Sonia Chernova, E. Matthew Taylor and Ann Nowe (poster + long talk)
  • AAMAS-15: Policy Transfer using Reward Shaping by Tim Brys, Anna Harutyunyan, Matthew E. Taylor, and Ann Nowe
  • AAAI-15: Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment by Haitham Bou Ammar, Eric Eaton, Paul Ruvolo, and Matthew E. Taylor
  • Adaptive Behavior: Transfer Learning with Probabilistic Mapping Selection by Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, and Ioannis Vlahavas


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

  1. learn tasks in real world environments that are not fully known when the agents are designed;
  2. perform multiple tasks, rather than just a single task; and
  3. allow agents to robustly coordinate with, and reason about, other agents.
Additionally, I am interested in exploring how agents can learn from humans, whether the human is explicitly teaching the agent, the agent is passively observing the human, or the agent is actively cooperating with the human on a task.

A selection of current research projects can be found at the IRL Lab website.


Spring 2015:
CptS 580: Reinforcement Learning
Fall 2014: CptS 483: Introduction to Robotics
Previous courses: here  


View my CV as:



Brief Biography

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.