Akshat Kumar
About
Akshat Kumar has authored 58 papers that have received a total of 400 indexed citations.
This includes 30 papers in Artificial Intelligence, 17 papers in Management Science and Operations Research and 10 papers in Computer Networks and Communications. The topics of these papers are Bayesian Modeling and Causal Inference (14 papers), Reinforcement Learning in Robotics (13 papers) and Auction Theory and Applications (12 papers). Akshat Kumar is often cited by papers focused on Bayesian Modeling and Causal Inference (14 papers), Reinforcement Learning in Robotics (13 papers) and Auction Theory and Applications (12 papers) and collaborates with scholars based in Singapore, United States and India. Akshat Kumar's co-authors include Shlomo Zilberstein, Hoong Chuin Lau, Pradeep Varakantham, Duc Thien Nguyen and Daniel Sheldon and has published in prestigious journals such as Journal of Artificial Intelligence Research, Journal of Physics A Mathematical and Theoretical and ACM Transactions on Intelligent Systems and Technology
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