Eric Mazumdar
About
Eric Mazumdar has authored 16 papers that have received a total of 126 indexed citations.
This includes 9 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 6 papers in Computational Theory and Mathematics. The topics of these papers are Reinforcement Learning in Robotics (7 papers), Advanced Bandit Algorithms Research (5 papers) and Adaptive Dynamic Programming Control (3 papers). Eric Mazumdar is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Advanced Bandit Algorithms Research (5 papers) and Adaptive Dynamic Programming Control (3 papers) and collaborates with scholars based in United States. Eric Mazumdar's co-authors include Lillian J. Ratliff, David Fridovich-Keil, S. Shankar Sastry, Claire J. Tomlin and Peter L. Bartlett and has published in prestigious journals such as Proceedings of the National Academy of Sciences and IEEE Transactions on Automatic Control
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