Prof. Matthew E. Taylor

Photo of Prof. Matthew E. Taylor

Principal Researcher

PhD Computer Science, University of Texas at Austin

Prof. Taylor is currently a Principal Researcher at the Edmonton Borealis AI research center, and former Assistant Professor at Washington State University in the School of Electrical Engineering and Computer Science where he held the Allred Distinguished Professorship in Artificial Intelligence.

Prof. 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 a recipient of the National Science Foundation CAREER award. Current research interests include intelligent agents, multi-agent systems, reinforcement learning, transfer learning, and robotics.

matthew.taylor@borealisai.com 

Research Areas

Reinforcement Learning

Publications

June 1, 2018

Improving Reinforcement Learning with Human Input

International Joint Conference on Artificial Intelligence (IJCAI), 2018
Authors: M. E. Taylor
May 13, 2019

Safer Deep RL with Shallow MCTS: A Case Study in Pommerman

Workshop on Adaptive Learning Agents (AAMAS), 2019
Authors: B. Kartal , P. Hernandez-Leal , C. Gao, M. Taylor
May 15, 2019

Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition

The Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019
Authors: C. Gao, P. Hernandez-Leal , B. Kartal , M. Taylor
June 20, 2019

Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning

International Joint Conference on Artificial Intelligence (IJCAI), 2019
Authors: K. Young, B. Wang , M. E. Taylor
July 22, 2019

Agent Modeling as Auxiliary Task for Deep Reinforcement Learning

AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal , *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
July 24, 2019

Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning

AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal , *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
July 25, 2019

Action Guidance with MCTS for Deep Reinforcement Learning

AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal , *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
July 26, 2019

On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman

AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Picture of Prof. Matthew E. Taylor