Matthew Hausknecht
About
Matthew Hausknecht has authored 16 papers that have received a total of 1.6k indexed citations.
This includes 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. The topics of these papers are Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Reinforcement Learning in Robotics (3 papers). Matthew Hausknecht is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Reinforcement Learning in Robotics (3 papers) and collaborates with scholars based in United States, United Kingdom and India. Matthew Hausknecht's co-authors include Peter Stone, Jacob Devlin, Shunyu Yao, Karthik Narasimhan and Pushmeet Kohli and has published in prestigious journals such as Journal of Experimental Psychology General, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.
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