Victoria Krakovna

6 papers and 46 indexed citations i.

Victoria Krakovna is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Victoria Krakovna has authored 6 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Cognitive Neuroscience and 1 paper in Computer Networks and Communications. Recurrent topics in Victoria Krakovna’s work include Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Computability, Logic, AI Algorithms (1 paper). Victoria Krakovna is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Computability, Logic, AI Algorithms (1 paper). Victoria Krakovna collaborates with scholars based in United States, Australia and United Kingdom. Victoria Krakovna's co-authors include Tom Everitt, Laurent Orseau, Shane Legg, Ramana Kumar, Marcus Hütter, János Kramár, Richard Ngo, Gerald Penn and Miljan Martic and has published in prestigious journals such as Synthese, arXiv (Cornell University) and Meeting of the Association for Computational Linguistics.