Prashant Doshi
About
Prashant Doshi has authored 65 papers that have received a total of 1.4k indexed citations.
This includes 45 papers in Artificial Intelligence, 15 papers in Information Systems and 14 papers in Management Science and Operations Research. The topics of these papers are Reinforcement Learning in Robotics (19 papers), Bayesian Modeling and Causal Inference (18 papers) and QoS-Aware Web Services Composition and Semantic Matching (9 papers). Prashant Doshi is often cited by papers focused on Reinforcement Learning in Robotics (19 papers), Bayesian Modeling and Causal Inference (18 papers) and QoS-Aware Web Services Composition and Semantic Matching (9 papers) and collaborates with scholars based in United States, China and Denmark. Prashant Doshi's co-authors include Piotr J. Gmytrasiewicz, Yifeng Zeng, Hua Mao, Adam S. Goodie and Bikramjit Banerjee and has published in prestigious journals such as Scientific Reports, Neuropsychologia and BMJ.
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