Kagan Tumer
About
Kagan Tumer has authored 29 papers that have received a total of 570 indexed citations.
This includes 17 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Control and Systems Engineering. The topics of these papers are Reinforcement Learning in Robotics (10 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Optimization and Search Problems (4 papers). Kagan Tumer is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Optimization and Search Problems (4 papers) and collaborates with scholars based in United States, Ecuador and Germany. Kagan Tumer's co-authors include Adrian Agogino, Irem Y. Tumer, Christopher Hoyle, David H. Wolpert and Joydeep Ghosh and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Mobile Computing and Robotics and Autonomous Systems
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