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Scott Proper

PhD From: Oregon State University
Completion Date: Fall, 2009
Keywords: Reinforcement learning, Machine learning, Multiagent systems
Personal Web Page: http://web.engr.oregonstate.edu/~proper/

Research Profile

I am greatly interested in problems involving machine learning, in particular difficulties involved in scaling reinforcement learning to solve complex domains. I am inspired and challenged by multiagent systems in particular: for example, problems in representing a value function over many states, problems of action selection by multiple agents, and of coordinating actions in multiagent domains. There are several broad approaches to these problems I have examined so far, including relational reinforcement learning, heirarchical reinforcement learning, function approximation, and coordination graphs.

Please see my web page for curriculum vitae and publications.

Contact Information

E-Mail: EMAIL OBFUSCATED

Phone: (541) 754-7952

Categories Posted To:

AI / Machine Learning / Robotics / Vision

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