Andrey Kolobov

20 papers and 270 indexed citations i.

Andrey Kolobov has authored 20 papers that have received a total of 270 indexed citations. This includes 14 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 4 papers in Management Science and Operations Research. The topics of these papers are AI-based Problem Solving and Planning (6 papers), Bayesian Modeling and Causal Inference (6 papers) and Reinforcement Learning in Robotics (4 papers). Andrey Kolobov is often cited by papers focused on AI-based Problem Solving and Planning (6 papers), Bayesian Modeling and Causal Inference (6 papers) and Reinforcement Learning in Robotics (4 papers) and collaborates with scholars based in United States, United Kingdom and Australia. Andrey Kolobov's co-authors include Daniel S. Weld, Mausam Mausam, Eric Horvitz, Bhaskara Marthi and David Sontag and has published in prestigious journals such as Nature Communications, Artificial Intelligence and AI Magazine