引用次数
引用: 10,193
H-指数: 46
I10-指数 : 146
出版物: 344
Recent Advances in Reinforcement Learning
Scott Sanner Marcus Hutter
springer
3
2012
Tournament versus Fitness Uniform Selection.(2004)
Shane LEGG , Marcus HUTTER , Akshat KUMAR
CEC2004: Proceedings of the 2004 Congress on Evolutionary Computation: June 19-23, 2004, Portland 2144 -2151
Complexity Monotone in Conditions and Future Prediction Errors.
Marcus Hutter , Alexey V. Chernov , Jürgen Schmidhuber
dagstuhl seminar proceedings 0
2006
Optimality of universal Bayesian prediction for general loss and alphabet
Marcus Hutter
Journal of Machine Learning Research
46
2003
Proceedings of the Second Conference on Artificial General Intelligence
Ben Goertzel , Marcus Hutter , Pascal Hitzler
Atlantis Publishing Corporation
8
2009
Reinforcement Learning (Dagstuhl Seminar 13321)
Marcus Hutter , Peter Auer , Laurent Orseau
Dagstuhl Reports 3 ( 8) 26
2013
Sequence prediction for non-stationary processes.
Daniil Ryabko , Marcus Hutter
dagstuhl seminar proceedings 0
7
2006
Learning in Reactive Environments with Arbitrary Dependence
Daniil Ryabko , Marcus Hutter
dagstuhl seminar proceedings 0
2006
Universal Learning of Repeated Matrix Games.
Marcus Hutter , Jan Poland
Proceedings of The 15th Annual Machine Learning Conference of Belgium and The Netherlands
20
2005
On the computability of AIXI
Marcus Hutter , Jan Leike
uncertainty in artificial intelligence 464 -473
7
2015
06051 Abstracts Collection -- Kolmogorov Complexity and Applications.
Paul M.B. Vitanyi , Marcus Hutter , Wolfgang Merkle
dagstuhl seminar proceedings 0
2006
Rationality, optimism and guarantees in general reinforcement learning
Peter Sunehag , Marcus Hutter
Journal of Machine Learning Research 16 ( 1) 1345 -1390
12
2015
Robust estimators under the Imprecise Dirichlet Model
Marcus Hutter
international symposium on imprecise probabilities and their applications 274 -289
16
2003
General Loss Bounds for Universal Sequence Prediction
Marcus Hutter
international conference on machine learning 210 -217
10
2001
Reinforcement learning via AIXI approximation
Joel Veness , Marcus Hutter , Kee Siong Ng , David Silver
national conference on artificial intelligence 605 -611
18
2010
Artificial general intelligence: Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5-8, 2010
Marcus Hutter , Eric Baum , Emanuel Kitzelmann
Atlantis Press
3
2010
To create a super-intelligent machine, start with an equation
Marcus Hutter
The Conversation Media Trust
2013
Feature Reinforcement Learning: State of the Art
Peter Sunehag , Mayank Daswani , Marcus Hutter
national conference on artificial intelligence
8
2014
Free Lunch for optimisation under the universal distribution
Tom Everitt , Tor Lattimore , Marcus Hutter
congress on evolutionary computation 167 -174
9
2014
Discrete MDL Predicts in Total Variation
Marcus Hutter
neural information processing systems 22 817 -825
6
2009