Dirk Ormoneit
About
Dirk Ormoneit has authored 13 papers that have received a total of 549 indexed citations.
This includes 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. The topics of these papers are Reinforcement Learning in Robotics (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Bayesian Methods and Mixture Models (2 papers). Dirk Ormoneit is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Bayesian Methods and Mixture Models (2 papers) and collaborates with scholars based in United States, Sweden and Germany. Dirk Ormoneit's co-authors include Peter W. Glynn, Trevor Hastie, Daphne Koller, Volker Tresp and Michael J. Black and has published in prestigious journals such as IEEE Transactions on Automatic Control, Neural Networks and Machine Learning
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