Tom Everitt

16 papers and 135 indexed citations i.

Tom Everitt has authored 16 papers that have received a total of 135 indexed citations. This includes 11 papers in Artificial Intelligence, 5 papers in Safety Research and 3 papers in Management Science and Operations Research. The topics of these papers are Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Tom Everitt is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Bayesian Modeling and Causal Inference (4 papers) and collaborates with scholars based in United Kingdom, Australia and Canada. Tom Everitt's co-authors include Marcus Hütter, Ryan M. Carey, Eric Langlois, Michael Wooldridge and Shane Legg and has published in prestigious journals such as Artificial Intelligence, Lecture notes in computer science and Synthese