Marcus Hütter

98 papers and 1.3k indexed citations i.

Marcus Hütter has authored 98 papers that have received a total of 1.3k indexed citations. This includes 67 papers in Artificial Intelligence, 39 papers in Computational Theory and Mathematics and 17 papers in Management Science and Operations Research. The topics of these papers are Computability, Logic, AI Algorithms (35 papers), Reinforcement Learning in Robotics (23 papers) and Evolutionary Algorithms and Applications (20 papers). Marcus Hütter is often cited by papers focused on Computability, Logic, AI Algorithms (35 papers), Reinforcement Learning in Robotics (23 papers) and Evolutionary Algorithms and Applications (20 papers) and collaborates with scholars based in Australia, Switzerland and United Kingdom. Marcus Hütter's co-authors include Shane Legg, Marco Zaffalon, Joel Veness, Daniil Ryabko and Tom Everitt and has published in prestigious journals such as Nuclear Physics B, Physics Letters B and IEEE Transactions on Information Theory.