Reinforcement learning: A survey LP Kaelbling, ML Littman, AW Moore Journal of artificial intelligence research 4, 237-285, 1996 | 11959 | 1996 |

X-means: Extending K-means with E cient Estimation of the Number of Clusters D Pelleg, A Moore ICML’00, 727-734, 2000 | 3896 | 2000 |

Locally weighted learning CG Atkeson, AW Moore, S Schaal Lazy learning, 11-73, 1997 | 2474 | 1997 |

Prioritized sweeping: Reinforcement learning with less data and less time AW Moore, CG Atkeson Machine learning 13, 103-130, 1993 | 1314 | 1993 |

Toward the accurate identification of network applications AW Moore, K Papagiannaki International workshop on passive and active network measurement, 41-54, 2005 | 1259 | 2005 |

Generalization in reinforcement learning: Safely approximating the value function J Boyan, A Moore Advances in neural information processing systems 7, 1994 | 922 | 1994 |

Locally weighted learning for control CG Atkeson, AW Moore, S Schaal Lazy learning, 75-113, 1997 | 807 | 1997 |

Discriminators for use in flow-based classification A Moore, D Zuev, M Crogan | 709 | 2013 |

An investigation of practical approximate nearest neighbor algorithms T Liu, A Moore, K Yang, A Gray Advances in neural information processing systems 17, 2004 | 619 | 2004 |

Accelerating exact *k*-means algorithms with geometric reasoningD Pelleg, A Moore Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 609 | 1999 |

Efficient memory-based learning for robot control AW Moore University of Cambridge, Computer Laboratory, 1990 | 572 | 1990 |

The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces A Moore Advances in neural information processing systems 6, 1993 | 511 | 1993 |

Hoeffding races: Accelerating model selection search for classification and function approximation O Maron, A Moore Advances in neural information processing systems 6, 1993 | 460 | 1993 |

Dynamic social network analysis using latent space models P Sarkar, AW Moore Acm sigkdd explorations newsletter 7 (2), 31-40, 2005 | 457 | 2005 |

Variable resolution discretization in optimal control R Munos, A Moore Machine learning 49, 291-323, 2002 | 423 | 2002 |

Gradient descent for general reinforcement learning L Baird, A Moore Advances in neural information processing systems 11, 1998 | 415 | 1998 |

Re-architecting datacenter networks and stacks for low latency and high performance M Handley, C Raiciu, A Agache, A Voinescu, AW Moore, G Antichi, ... Proceedings of the Conference of the ACM Special Interest Group on Data …, 2017 | 414 | 2017 |

Efficient algorithms for minimizing cross validation error AW Moore, MS Lee Machine Learning Proceedings 1994, 190-198, 1994 | 406 | 1994 |

Distributed value functions J Schneider, WK Wong, A Moore, M Riedmiller Carnegie Mellon University, 1999 | 395 | 1999 |

N-Body'problems in statistical learning A Gray, A Moore Advances in neural information processing systems 13, 2000 | 376 | 2000 |