Search
Navigator: RI |
Research |
Projects |
Auton Project |
Publications
Graphics enhanced version of this site
Publications, Auton Project
Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- Efficient Discovery of Spatial Associations and Structure with Application to Asteroid Tracking
J.M. Kubica
doctoral dissertation, tech. report CMU-RI-TR-06-01, Robotics Institute, Carnegie Mellon University, December, 2005.
[Abstract]
Download: pdf [6730 KB] copyrighted
- Scalable and robust group discovery on large transactional data
P. Choi, A. Moore, and J.M. Kubica
tech. report CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005.
[Abstract]
Download: pdf [753 KB] copyrighted
- Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery
J.M. Kubica, J. Masiero, A. Moore, R. Jedicke, and A.J. Connolly
Neural Information Processing Systems, December, 2005.
[Abstract]
Download: pdf [204 KB] copyrighted
- Making Logistic Regression A Core Data Mining Tool: A Practical Investigation of Accuracy, Speed, and Simplicity
P. Komarek and A. Moore
tech. report CMU-RI-TR-05-27, Robotics Institute, Carnegie Mellon University, May, 2005.
[Abstract]
Download: pdf [214 KB], ps.gz [70 KB] copyrighted
- Efficient Algorithms for the Identification of Potential Track/Observation Associations in Continuous Time Data
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005.
[Abstract]
Download: pdf [168 KB], ps.gz [375 KB] copyrighted
- Fast and Robust Track Initiation Using Multiple Trees
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004.
[Abstract]
Download: pdf [1196 KB], ps.gz [803 KB] copyrighted
- Spatial Data Structures for Efficient Trajectory-Based Queries
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004.
[Abstract]
Download: pdf [510 KB], ps.gz [278 KB] copyrighted
- Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
B. Anderson, A. Moore, A.J. Connolly, and R. Nichol
International Conference on Knowledge Discovery and Data Mining, ACM Press, New York, NY, August, 2004.
- Logistic Regression for Data Mining and High-Dimensional Classification
P. Komarek
tech. report CMU-RI-TR-04-34, Robotics Institute, Carnegie Mellon University, May, 2004.
[Abstract]
Download: pdf [1579 KB], ps.gz [2027 KB] copyrighted
- Alias Detection in Link Data Sets
P. Hsiung
master's thesis, tech. report CMU-RI-TR-04-22, Robotics Institute, Carnegie Mellon University, March, 2004.
[Abstract]
Download: pdf [89 KB], ps.gz [47 KB] copyrighted
- Policy Search by Dynamic Programming
J. Bagnell, S. Kakade, A. Ng, and J. Schneider
Neural Information Processing Systems, MIT Press, Vol. 16, December, 2003.
[Abstract]
Download: pdf [157 KB], ps.gz [73 KB] copyrighted
- Covariant Policy Search
J. Bagnell and J. Schneider
Proceeding of the International Joint Conference on Artifical Intelligence, August, 2003.
[Abstract]
Download: pdf [135 KB], ps.gz [118 KB] copyrighted
- Learning with scope; with application to information extraction and classification
D. Blei, J. Bagnell, and A. McCallum
Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers, June, 2002, pp. 53-60.
Download: pdf [131 KB], ps.gz [183 KB] copyrighted
- Solving Uncertain Markov Decision Problems
J. Bagnell, A.Y. Ng, and J. Schneider
tech. report CMU-RI-TR-01-25, Robotics Institute, Carnegie Mellon University, August, 2001.
[Abstract]
Download: pdf [970 KB], ps.gz [2556 KB] copyrighted
- Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods
J. Bagnell and J. Schneider
Proceedings of the International Conference on Robotics and Automation 2001, IEEE, May, 2001.
[Abstract]
Download: pdf [224 KB], ps.gz [104 KB] copyrighted
- Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous and Discrete Variables
S. Davies and A. Moore
tech. report CMU-CS-00-119, Computer Science Department, Carnegie Mellon University, April, 2000.
Download: pdf [405 KB], ps.gz [338 KB] copyrighted
- Influence and Variance of a Markov Chain: Application to Adaptive Discretization in Optimal Control
R. Munos and A. Moore
IEEE Conference on Decision and Control, Vol. 2, December, 1999, pp. 1464 - 1469.
[Abstract]
Download: pdf [207 KB], ps.gz [180 KB] copyrighted
- Variable resolution discretization for high-accuracy solutions of optimal control problems
R. Munos and A. Moore
International Joint Conference on Artificial Intelligence, August, 1999.
[Abstract]
Download: pdf [430 KB], ps.gz [315 KB] copyrighted
- Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources
A. Moore, J. Schneider, B. Anderson, S. Davies, P. Komarek, M.S. Lee, M. Meila, R. Munos, K. Myers, and D. Pelleg
July, 1999.
Download: pdf [191 KB], ps.gz [113 KB] copyrighted
- Gradient Descent Approaches to Neural-Net-Based Solutions of the Hamilton-Jacobi-Bellman Equation
R. Munos, L. Baird, and A. Moore
International Joint Conference on Neural Networks, July, 1999.
[Abstract]
Download: pdf [192 KB], ps.gz [128 KB] copyrighted
- Reinforcement Learning Through Gradient Descent
L. Baird
doctoral dissertation, tech. report CMU-CS-99-132, Computer Science Department, Carnegie Mellon University, May, 1999.
Download: pdf [244 KB], ps.gz [301 KB] copyrighted
- A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions
R. Munos
Machine Learning Journal, 1999.
[Abstract]
Download: pdf [359 KB], ps.gz [171 KB] copyrighted
- Accelerating Exact k-means Algorithms with Geometric Reasoning
D. Pelleg and A. Moore
Knowledge Discovery from Databases (KDD '99), 1999.
Download: pdf [437 KB], ps.gz [102 KB] copyrighted
- Approximate Solutions to Markov Decision Processes
G. Gordon
doctoral dissertation, Computer Science Department, Carnegie Mellon University, 1999.
[Abstract]
Download: pdf [1084 KB], ps.gz [696 KB] copyrighted
- Bayesian Networks for Lossless Dataset Compression
S. Davies and A. Moore
1999 Knowledge Discovery from Databases (KDD '99), 1999.
Download: pdf [143 KB], ps.gz [42 KB] copyrighted
- Distributed Value Functions
J. Schneider, W. Wong, A. Moore, and M. Riedmiller
International Conference on Machine Learning, 1999.
Download: pdf [149 KB], ps.gz [54 KB] copyrighted
- Gradient Descent for General Reinforcement Learning
L. Baird and A. Moore
Advances in
Neural Information Processing Systems 11, 1999.
[Abstract]
Download: pdf [48 KB], ps.gz [58 KB] copyrighted
- Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs
A. Moore, L. Baird, and L.P. Kaelbling
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI '99), 1999.
Download: pdf [414 KB], ps.gz [215 KB] copyrighted
- Regret bounds for prediction problems
G. Gordon
Proceedings of COLT '99, 1999.
[Abstract]
Download: pdf [207 KB], ps.gz [114 KB] copyrighted
- Variable Resolution Discretization in Optimal Control
R. Munos and A. Moore
Machine Learning Journal, 1999.
Download: pdf [534 KB], ps.gz [343 KB] copyrighted
- Barycentric Interpolator for Continuous Space and Time Reinforcement Learning
R. Munos and A. Moore
Neural Information Processing Systems, MIT Press, Vol. 11, December, 1998.
[Abstract]
Download: pdf [170 KB], ps.gz [48 KB] copyrighted
- Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees
A. Moore
Neural Information Systems Processing, December, 1998.
Download: pdf [306 KB], ps.gz [187 KB] copyrighted
- ADtrees for Fast Counting and for Fast Learning of Association Rules
B. Anderson and A. Moore
Knowledge Discovery from Databases '98, August, 1998.
Download: pdf [55 KB] copyrighted
- Q2: Memory-based active learning for optimizing noisy continuous functions
A. Moore, J. Schneider, J. Boyan, and M. Lee
International Conference of Machine Learning, June, 1998.
[Abstract]
Download: pdf [721 KB], ps.gz [491 KB] copyrighted
- Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets
A. Moore and M.S. Lee
Journal of Artificial Intelligence Research, Vol. 8, March, 1998, pp. 67- 91.
[Abstract]
Download: pdf [259 KB], ps.gz [90 KB] copyrighted
- Value Function Based Production Scheduling
J. Schneider, J. Boyan, and A. Moore
Machine Learning: Proceedings of the Fifteenth International Conference (ICML '98), March, 1998.
[Abstract]
Download: pdf [144 KB], ps.gz [77 KB] copyrighted
- A general convergence method for Reinforcement Learning in the continuous case
R. Munos
European Conference on Machine Learning, 1998.
[Abstract]
Download: pdf [579 KB], ps.gz [237 KB] copyrighted
- Applying Online Search Techniques to Reinforcement Learning
S. Davies, A.Y. Ng, and A. Moore
Fifteenth National Conference on Artificial Intelligence (AAAI), 1998.
Download: pdf [234 KB], ps.gz [117 KB] copyrighted
- Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
J. Boyan and A. Moore
Fifteenth National Conference on Artificial Intelligence, 1998.
Download: pdf [240 KB], ps.gz [103 KB] copyrighted
- A convergent Reinforcement Learning algorithm in the continuous case based on a Finite Difference method
R. Munos
1997 International Joint Conference on Artificial Intelligence (IJCAI '97), 1997.
[Abstract]
Download: pdf [658 KB], ps.gz [232 KB] copyrighted
- Efficient Locally Weighted Polynomial Regression Predictions
A. Moore, J. Schneider, and K. Deng
International Conference on Machine Learning, 1997.
Download: pdf [245 KB], ps.gz [146 KB] copyrighted
- Finite-Element methods with local triangulation refinement for continuous Reinforcement Learning problems
R. Munos
European Conference on Machine Learning 1997, 1997.
[Abstract]
Download: pdf [569 KB], ps.gz [293 KB] copyrighted
- Locally Weighted Learning
C.G. Atkeson, S.A. Schaal, and A. Moore
AI Review, Vol. 11, 1997, pp. 11-73.
Download: pdf [971 KB], ps.gz [637 KB] copyrighted
- Locally Weighted Learning For Control
A. Moore, C.G. Atkeson, and S.A. Schaal
AI Review, Vol. 11, 1997, pp. 75-113.
Download: pdf [788 KB], ps.gz [439 KB] copyrighted
- Reinforcement Learning for Continuous Stochastic Control Problems
R. Munos and P. Bourgine
Neural Information Processing Systems, 1997.
[Abstract]
Download: pdf [454 KB], ps.gz [164 KB] copyrighted
- A Convergent Reinforcement Learning algorithm in the continuous case: the Finite-Element Reinforcement Learning
R. Munos
International Conference on Machine Learning 1996 (ICML '96), 1996.
[Abstract]
Download: pdf [201 KB], ps.gz [67 KB] copyrighted
- Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
J. Schneider
Neural Information Processing Systems 9, 1996.
Download: pdf [159 KB], ps.gz [51 KB] copyrighted
- Learning Evaluation Functions for Large Acyclic Domains
J. Boyan and A. Moore
Machine Learning: Proceedings of the Thirteenth International Conference, organ Kaufmann, 1996.
Download: pdf [189 KB], ps.gz [57 KB] copyrighted
- Reinforcement Learning: A Survey
L.P. Kaelbling, M.L. Littman, and A. Moore
Journal of Artificial Intelligence Research, Vol. 4, 1996, pp. 237-285.
Download: pdf [442 KB], ps.gz [242 KB] copyrighted
- Using Finite-Differences methods for approximating the value function of continuous Reinforcement Learning problems
R. Munos
International Symposium on Multi-Technology Information Processing 1996, 1996.
[Abstract]
Download: pdf [315 KB], ps.gz [119 KB] copyrighted
- The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces
A. Moore and C.G. Atkeson
Machine Learning, Vol. 21, December, 1995.
Download: pdf [758 KB], ps.gz [390 KB] copyrighted
- Learning Automated Product Recommendations Without Observable Features: An Initial Investigation
M.S. Lee and A. Moore
tech. report CMU-RI-TR-95-17, Robotics Institute, Carnegie Mellon University, April, 1995.
[Abstract]
Download: pdf [237 KB], ps.gz [75 KB] copyrighted
- Memory-Based Learning for Control
A. Moore, C.G. Atkeson, and S.A. Schaal
tech. report CMU-RI-TR-95-18, Robotics Institute, Carnegie Mellon University, April, 1995.
[Abstract]
Download: pdf [730 KB], ps.gz [420 KB] copyrighted
- Generalization in Reinforcement Learning: Safely Approximating the Value Function
J. Boyan and A. Moore
Advances in Neural Information Processing Systems 7, MIT Press, 1995.
Download: pdf [659 KB], ps.gz [487 KB], ps.z [760 KB] copyrighted
- Memory-based Stochastic Optimization
A. Moore and J. Schneider
Neural Information Processing Systems 8, 1995.
Download: pdf [269 KB], ps.gz [156 KB] copyrighted
- Multiresolution Instance-Based Learning
A. Moore, J. Schneider, and K. Deng
Proceedings of International Joint Conference on Artificial Intelligence, 1995.
Download: pdf [77 KB], ps.gz [52 KB] copyrighted
- Online Fitted Reinforcement Learning
G. Gordon
VFA workshop at ML-95, 1995.
[Abstract]
Download: pdf [87 KB], ps.gz [26 KB] copyrighted
- Stable Function Approximation in Dynamic Programming
G. Gordon
Proceedings of IMCL '95, 1995.
[Abstract]
Download: pdf [168 KB], ps.gz [61 KB] copyrighted
- An Empirical Investigation of Brute Force to choose Features, Smoothers and Function Approximators
A. Moore, D.J. Hill, and M.P. Johnson
Computational Learning Theory and Natural Learning Systems, Vol. 3, 1994.
Download: pdf [412 KB], ps.gz [301 KB], ps.z [411 KB] copyrighted
- Efficient Algorithms for Minimizing Cross Validation Error
A. Moore and M.S. Lee
Proceedings of the 11th International Conference on Machine Learning, Morgan Kaufmann, 1994.
Download: pdf [116 KB], ps.gz [51 KB] copyrighted
- Prioritized Sweeping: Reinforcement Learning with Less Data and Less Real Time
A. Moore and C.G. Atkeson
Machine Learning, Vol. 13, October, 1993.
Download: pdf [570 KB], ps.gz [167 KB], ps.z [248 KB] copyrighted
- Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation
O. Maron and A. Moore
Advances in Neural Information ProcessingSystems 6, Morgan Kaufmann, 1993.
Download: pdf [141 KB], ps.gz [39 KB] copyrighted
- Memory-based Reinforcement Learning: Efficient Computation with Prioritized Sweeping
A. Moore and C.G. Atkeson
Advances in Neural Information Processing Systems 5, Morgan Kaufmann, 1992.
- Knowledge of Knowledge and Intelligent Experimentation for Learning Control
A. Moore
Proceedings of the 1991 Seattle International Joint Conference on Neural Networks, Vol. 2, July, 1991, pp. 683 - 688.
[Abstract]
Download: pdf [426 KB] copyrighted
- Fast, Robust Adaptive Control by Learning only Forward Models
A. Moore
Morgan Kaufmann, 1991.
- Variable Resolution Dynamic Programming: Efficiently Learning Action Maps in Multivariate Real-valued State-spaces
A. Moore
Proceedings of the Eighth International Conference on Machine Learning, Morgan Kaufmann, 1991.
- Acquisition of Dynamic Control Knowledge for a Robotic Manipulator
A. Moore
Proceedings of the 7th International Conference on Machine Learning, Morgan Kaufmann, 1990.
- Some Experiments in Adaptive State Space Robotics
W.F. Clocksin and A. Moore
Proceedings of the 7th AISB Conference, Morgan Kaufmann, 1989.
The Robotics Institute is part of the
School of Computer Science,
Carnegie Mellon University.
For updates and comments, please see these
instructions.
This page maintained by robotwebmaster@ri.cmu.edu