Marcus Hütter

6.2k total citations
117 papers, 1.8k citations indexed

About

Marcus Hütter is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Marcus Hütter has authored 117 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 46 papers in Computational Theory and Mathematics and 19 papers in Management Science and Operations Research. Recurrent topics in Marcus Hütter's work include Computability, Logic, AI Algorithms (38 papers), Machine Learning and Algorithms (25 papers) and Reinforcement Learning in Robotics (25 papers). Marcus Hütter is often cited by papers focused on Computability, Logic, AI Algorithms (38 papers), Machine Learning and Algorithms (25 papers) and Reinforcement Learning in Robotics (25 papers). Marcus Hütter collaborates with scholars based in Australia, Switzerland and United Kingdom. Marcus Hütter's co-authors include Shane Legg, Marco Zaffalon, Jan Poland, Stephen Jay Gould, Peter Anderson, Basura Fernando, Tor Lattimore, Daniil Ryabko, Ivo Kwee and Peter Sunehag and has published in prestigious journals such as Nuclear Physics B, IEEE Transactions on Information Theory and Physics Letters B.

In The Last Decade

Marcus Hütter

108 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcus Hütter Australia 18 1.0k 538 175 168 163 117 1.8k
Marco Tomassini Switzerland 23 742 0.7× 631 1.2× 179 1.0× 151 0.9× 72 0.4× 107 2.3k
Simon Colton United Kingdom 11 1.2k 1.2× 194 0.4× 356 2.0× 207 1.2× 115 0.7× 32 2.1k
Lee Spector United States 30 1.8k 1.8× 334 0.6× 117 0.7× 77 0.5× 89 0.5× 152 3.1k
Jonas Peters Germany 26 1.7k 1.6× 196 0.4× 139 0.8× 385 2.3× 100 0.6× 51 2.6k
Joel Lehman United States 20 1.6k 1.5× 295 0.5× 238 1.4× 60 0.4× 130 0.8× 50 2.2k
Max Chickering United States 11 1.1k 1.0× 156 0.3× 241 1.4× 277 1.6× 41 0.3× 18 1.7k
Jan M. Żytkow United States 18 767 0.7× 278 0.5× 78 0.4× 102 0.6× 119 0.7× 67 1.6k
Luís C. Lamb Brazil 16 942 0.9× 231 0.4× 96 0.5× 57 0.3× 61 0.4× 85 1.6k
Manuel Gomez-Rodriguez Germany 23 878 0.8× 103 0.2× 151 0.9× 176 1.0× 270 1.7× 70 2.9k
Matt J. Kusner United States 14 1.1k 1.0× 126 0.2× 316 1.8× 89 0.5× 31 0.2× 26 1.7k

Countries citing papers authored by Marcus Hütter

Since Specialization
Citations

This map shows the geographic impact of Marcus Hütter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcus Hütter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Hütter more than expected).

Fields of papers citing papers by Marcus Hütter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus Hütter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcus Hütter. The network helps show where Marcus Hütter may publish in the future.

Co-authorship network of co-authors of Marcus Hütter

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Hütter. A scholar is included among the top collaborators of Marcus Hütter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcus Hütter. Marcus Hütter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Orseau, Laurent, Marcus Hütter, & Levi H. S. Lelis. (2023). Levin Tree Search with Context Models. 5622–5630. 1 indexed citations
2.
Cohen, Michael K., Marcus Hütter, & Michael A. Osborne. (2022). Advanced artificial agents intervene in the provision of reward. AI Magazine. 43(3). 282–293. 13 indexed citations
3.
Cohen, Michael K., Badri N. Vellambi, & Marcus Hütter. (2021). Intelligence and Unambitiousness Using Algorithmic Information Theory. IEEE Journal on Selected Areas in Information Theory. 2(2). 678–690. 2 indexed citations
4.
Hütter, Marcus, et al.. (2019). Performance Guarantees for Homomorphisms beyond Markov Decision Processes. ANU Open Research (Australian National University). 1 indexed citations
5.
Aslanides, John, et al.. (2017). Generalised Discount Functions applied to a Monte-Carlo AI u Implementation. Adaptive Agents and Multi-Agents Systems. 1589–1591.
6.
Hütter, Marcus. (2016). Extreme state aggregation beyond Markov decision processes. Theoretical Computer Science. 650. 73–91. 10 indexed citations
7.
Leike, Jan & Marcus Hütter. (2015). Bad Universal Priors and Notions of Optimality. ANU Open Research (Australian National University). 1244–1259. 4 indexed citations
8.
Sunehag, Peter, et al.. (2014). Reinforcement learning with value advice. ANU Open Research (Australian National University). 299–314.
9.
Hütter, Marcus, John W. Lloyd, Kee Siong Ng, & William Uther. (2013). Probabilities on Sentences in an Expressive Logic. Journal of Applied Logic. 11(4). 386–420. 1 indexed citations
10.
Sunehag, Peter, et al.. (2012). Feature Reinforcement Learning using Looping Suffix Trees. ANU Open Research (Australian National University). 11–24. 2 indexed citations
11.
Baum, Eric B., Marcus Hütter, & Emanuel Kitzelmann. (2010). Artificial general intelligence: Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5-8, 2010. 2 indexed citations
12.
Goertzel, Ben, Pascal Hitzler, & Marcus Hütter. (2009). Artificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009. 2 indexed citations
13.
Ryabko, Daniil & Marcus Hütter. (2008). On the possibility of learning in reactive environments with arbitrary dependence. Theoretical Computer Science. 405(3). 274–284. 8 indexed citations
14.
Hütter, Marcus, Rocco A. Servedio, & Eiji Takimoto. (2007). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics: Preface. Lecture notes in computer science. 1 indexed citations
15.
Hütter, Marcus, Wolfgang Merkle, & Paul Vitányi. (2006). Kolmogorov Complexity and Applications. Dagstuhl Seminar Proceedings. 9 indexed citations
16.
Gomez, Faustino, et al.. (2006). Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. ArXiv.org. 272–281. 2 indexed citations
17.
Chernov, Alexey, Marcus Hütter, & Jürgen Schmidhuber. (2006). Algorithmic complexity bounds on future prediction errors. Information and Computation. 205(2). 242–261. 5 indexed citations
18.
Hütter, Marcus. (2006). On generalized computable universal priors and their convergence. Theoretical Computer Science. 364(1). 27–41. 2 indexed citations
19.
Hütter, Marcus. (2003). Optimal Sequential Decisions based on Algorithmic Probability. arXiv (Cornell University). 2 indexed citations
20.
Hütter, Marcus. (2003). Optimality of universal Bayesian prediction for general loss and alphabet. Journal of Machine Learning Research. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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