Paul J. Schweitzer
About
Paul J. Schweitzer has authored 79 papers that have received a total of 2.0k indexed citations.
This includes 21 papers in Management Information Systems, 20 papers in Statistics and Probability and 18 papers in Computational Theory and Mathematics. The topics of these papers are Markov Chains and Monte Carlo Methods (18 papers), Advanced Queuing Theory Analysis (16 papers) and Reinforcement Learning in Robotics (13 papers). Paul J. Schweitzer is often cited by papers focused on Markov Chains and Monte Carlo Methods (18 papers), Advanced Queuing Theory Analysis (16 papers) and Reinforcement Learning in Robotics (13 papers) and collaborates with scholars based in United States, Israel and Russia. Paul J. Schweitzer's co-authors include Awi Federgruen, Abraham Seidmann, Bezalel Gavish, Henk Tijms and E. Shlifer and has published in prestigious journals such as Management Science, Operations Research and International Journal of Production Research
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