Sooraj Bhat
About
Sooraj Bhat has authored 7 papers that have received a total of 61 indexed citations.
This includes 5 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Signal Processing. The topics of these papers are Reinforcement Learning in Robotics (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Peer-to-Peer Network Technologies (2 papers). Sooraj Bhat is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Peer-to-Peer Network Technologies (2 papers) and collaborates with scholars based in United States. Sooraj Bhat's co-authors include Charles L. Isbell, David L. Roberts, Michael Mateas, Claudio Russo and Andrew D. Gordon and has published in prestigious journals such as ACM SIGPLAN Notices and Logical Methods in Computer Science
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