Marcus Hutter
Orcid: 0000-0002-3263-4097Affiliations:
- DeepMind, UK
- Australian National University, Canberra, Australia (former)
According to our database1,
Marcus Hutter
authored at least 243 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on twitter.com
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on hutter1.net
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on dl.acm.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning.
CoRR, 2023
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Artificial General Intelligence - 15th International Conference, 2022
2021
Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective.
Synth., 2021
IEEE J. Sel. Areas Inf. Theory, 2021
IEEE J. Sel. Areas Inf. Theory, 2021
J. Artif. Gen. Intell., 2021
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions.
CoRR, 2021
CoRR, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Proceedings of the Artificial General Intelligence - 14th International Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Gentle Introduction to Quantum Computing Algorithms with Applications to Universal Prediction.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective.
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Convergence of Binarized Context-tree Weighting for Estimating Distributions of Stationary Sources.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 Data Compression Conference, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
CoRR, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the Artificial General Intelligence - 10th International Conference, 2017
2016
Theor. Comput. Sci., 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016
2015
Theor. Comput. Sci., 2015
J. Mach. Learn. Res., 2015
A Topological Approach to Meta-heuristics: Analytical Results on the BFS vs. DFS Algorithm Selection Problem.
CoRR, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Analytical Results on the BFS vs. DFS Algorithm Selection Problem: Part II: Graph Search.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
Analytical Results on the BFS vs. DFS Algorithm Selection Problem. Part I: Tree Search.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015
Proceedings of the Algorithmic Decision Theory - 4th International Conference, 2015
Using Localization and Factorization to Reduce the Complexity of Reinforcement Learning.
Proceedings of the Artificial General Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the 2014 IEEE Information Theory Workshop, 2014
Reflective Features Detection and Hierarchical Reflections Separation in Image Sequences.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014
Proceedings of the Artificial General Intelligence - 7th International Conference, 2014
Proceedings of the Sixth Asian Conference on Machine Learning, 2014
Reliable Point Correspondences in Scenes Dominated by Highly Reflective and Largely Homogeneous Surfaces.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014
2013
Proceedings of the Theory and Applications of Models of Computation, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the COLT 2013, 2013
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013
Proceedings of the Artificial General Intelligence - 6th International Conference, 2013
Proceedings of the Asian Conference on Machine Learning, 2013
2012
Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012
Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012
Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012
Coding of Non-Stationary Sources as a Foundation for Detecting Change Points and Outliers in Binary Time-Series.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012
Proceedings of the Artificial General Intelligence - 5th International Conference, 2012
Proceedings of the Artificial General Intelligence - 5th International Conference, 2012
A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation.
Proceedings of the Computer Vision - ACCV 2012, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Algorithmic Randomness as Foundation of Inductive Reasoning and Artificial Intelligence
CoRR, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011
2010
CoRR, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
J. Artif. Gen. Intell., 2009
Int. J. Approx. Reason., 2009
Int. J. Approx. Reason., 2009
CoRR, 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Distributed Computing, 2009
2008
Theor. Comput. Sci., 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the Artificial General Intelligence, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007
2006
Theor. Comput. Sci., 2006
Proceedings of the Theory and Applications of Models of Computation, 2006
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot.
Proceedings of the Intelligent Autonomous Systems 9, 2006
Proceedings of the Kolmogorov Complexity and Applications, 29.01. - 03.02.2006, 2006
Proceedings of the Combinatorial and Algorithmic Foundations of Pattern and Association Discovery, 14.05., 2006
Proceedings of the Kolmogorov Complexity and Applications, 29.01. - 03.02.2006, 2006
Proceedings of the Kolmogorov Complexity and Applications, 29.01. - 03.02.2006, 2006
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006
Proceedings of the 50 Years of Artificial Intelligence, 2006
Proceedings of the Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms, 2006
2005
Universal Artificial Intellegence - Sequential Decisions Based on Algorithmic Probability
Texts in Theoretical Computer Science. An EATCS Series, Springer, ISBN: 978-3-540-26877-2, 2005
J. Mach. Learn. Res., 2005
Comput. Stat. Data Anal., 2005
CoRR, 2005
CoRR, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004
2003
IEEE Trans. Inf. Theory, 2003
J. Mach. Learn. Res., 2003
Bayesian Treatment of Incomplete Discrete Data Applied to Mutual Information and Feature Selection.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003
Proceedings of the ISIPTA '03, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003
2002
Int. J. Found. Comput. Sci., 2002
Proceedings of the UAI '02, 2002
Self-Optimizing and Pareto-Optimal Policies in General Environments Based on Bayes-Mixtures.
Proceedings of the Computational Learning Theory, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
General Loss Bounds for Universal Sequence Prediction.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Machine Learning: EMCL 2001, 2001
Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions.
Proceedings of the Machine Learning: EMCL 2001, 2001
2000
Towards a Universal Theory of Artificial Intelligence based on Algorithmic Probability and Sequential Decision Theory
CoRR, 2000
CoRR, 2000