David Freelan

David Freelan

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ABOUT ME
PhD student: Java and Artificial Intelligence specialist
PhD student: Java and Artificial Intelligence specialist

I am a PhD student at George Mason University, currently studying Multi-agent systems, Robotics, Monte Carlo Tree search, and deep learning.

I am currently most interested in alphaGo, and trying smaller scale experiments similar to alphaGo for different games.

English
Eastern Time (US & Canada) (-04:00)
Joined April 2016
EXPERTISE
10 years experience
I have been coding for 10 years, and over the years working with students and working on projects with several professors who work with J...
I have been coding for 10 years, and over the years working with students and working on projects with several professors who work with Java, I have become very proficient in Java. I understand the limitations and strengths of Java.
5 years experience
I have 3 different publications in the field of AI, posted at the bottom of this description. In short, my publications are about Robo...
I have 3 different publications in the field of AI, posted at the bottom of this description. In short, my publications are about Robotics and Multi-agent learning. However I have plenty of experience with Neural networks, support vector machines, reinforcement learning, and Markov decision processes. My current interests are of alphaGo, which uses Deep Learning and Monte Carlo Tree Search. I have a working understanding of the published components of alphaGo Freelan, David, et al. "Towards rapid multi-robot learning from demonstration at the robocup competition." RoboCup 2014: Robot World Cup XVIII. Springer International Publishing, 2014. 369-382. Wicke, Drew, David Freelan, and Sean Luke. "Bounty hunters and multiagent task allocation." Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2015. Freelan, David, et al. "RoboPatriots: George Mason University 2014 RoboCup Team."

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