Andrew Moore
Andrew Moore
Dean, School of Computer Science, Carnegie Mellon
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Reinforcement learning: A survey
LP Kaelbling, ML Littman, AW Moore
Journal of artificial intelligence research 4, 237-285, 1996
78551996
Learning to predict by the methods of temporal differences
RS Sutton
Machine learning 3 (1), 9-44, 1988
58531988
X-means: Extending k-means with efficient estimation of the number of clusters.
D Pelleg, AW Moore
Icml 1, 727-734, 2000
29522000
Locally weighted learning
CG Atkeson, AW Moore, S Schaal
Lazy learning, 11-73, 1997
21841997
Prioritized sweeping: Reinforcement learning with less data and less time
AW Moore, CG Atkeson
Machine learning 13 (1), 103-130, 1993
10701993
Toward the accurate identification of network applications
AW Moore, K Papagiannaki
International Workshop on Passive and Active Network Measurement, 41-54, 2005
9782005
Generalization in reinforcement learning: Safely approximating the value function
JA Boyan, AW Moore
Advances in neural information processing systems, 369-376, 1995
7791995
Locally weighted learning for control
CG Atkeson, AW Moore, S Schaal
Lazy learning, 75-113, 1997
6981997
Discriminators for use in flow-based classification
A Moore, D Zuev, M Crogan
5352013
An investigation of practical approximate nearest neighbor algorithms
T Liu, AW Moore, K Yang, AG Gray
Advances in neural information processing systems, 825-832, 2005
4832005
The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces
AW Moore
Advances in neural information processing systems, 711-718, 1994
4781994
Accelerating exact k-means algorithms with geometric reasoning
D Pelleg, A Moore
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
4701999
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Advances in Neural Information Processing Systems, 1145-1152, 2006
4212006
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Advances in Neural Information Processing Systems, 1145-1152, 2006
4212006
Hoeffding races: Accelerating model selection search for classification and function approximation
O Maron, AW Moore
Advances in neural information processing systems, 59-66, 1994
3851994
Efficient algorithms for minimizing cross validation error
AW Moore, MS Lee
Machine Learning Proceedings 1994, 190-198, 1994
3531994
Efficient algorithms for minimizing cross validation error
AW Moore, MS Lee
Machine Learning Proceedings 1994, 190-198, 1994
3531994
Variable resolution discretization in optimal control
R Munos, A Moore
Machine learning 49 (2-3), 291-323, 2002
3522002
Efficient memory-based learning for robot control
AW Moore
3461990
Gradient descent for general reinforcement learning
LC Baird III, AW Moore
Advances in neural information processing systems, 968-974, 1999
3391999
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Articles 1–20