Kee-Eung Kim

41 papers and 740 indexed citations i.

Kee-Eung Kim has authored 41 papers that have received a total of 740 indexed citations. This includes 30 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. The topics of these papers are Reinforcement Learning in Robotics (18 papers), Machine Learning and Algorithms (8 papers) and Optimization and Search Problems (6 papers). Kee-Eung Kim is often cited by papers focused on Reinforcement Learning in Robotics (18 papers), Machine Learning and Algorithms (8 papers) and Optimization and Search Problems (6 papers) and collaborates with scholars based in South Korea, Canada and United States. Kee-Eung Kim's co-authors include Pascal Poupart, Thomas Dean, Nicolas Meuleau, Leslie Pack Kaelbling and Dongho Kim and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Cybernetics and Machine Learning.