Ronald Parr
Ronald Parr
Professor of Computer Science, Duke University
Verified email at cs.duke.edu - Homepage
TitleCited byYear
Least-squares policy iteration
MG Lagoudakis, R Parr
Journal of machine learning research 4 (Dec), 1107-1149, 2003
12302003
Reinforcement learning with hierarchies of machines
R Parr, SJ Russell
Advances in neural information processing systems, 1043-1049, 1998
7381998
Efficient solution algorithms for factored MDPs
C Guestrin, D Koller, R Parr, S Venkataraman
Journal of Artificial Intelligence Research 19, 399-468, 2003
5072003
Multiagent planning with factored MDPs
C Guestrin, D Koller, R Parr
Advances in neural information processing systems, 1523-1530, 2002
4592002
DP-SLAM: Fast, robust simultaneous localization and mapping without predetermined landmarks
A Eliazar, R Parr
IJCAI 3, 1135-1142, 2003
4292003
Provably bounded-optimal agents
SJ Russell, D Subramanian
Journal of Artificial Intelligence Research 2, 575-609, 1994
3741994
Coordinated reinforcement learning
C Guestrin, M Lagoudakis, R Parr
ICML 2, 227-234, 2002
3492002
Hierarchical control and learning for Markov decision processes
RE Parr, S Russell
University of California, Berkeley, 1998
3281998
Bayesian fault detection and diagnosis in dynamic systems
U Lerner, R Parr, D Koller, G Biswas
Aaai/iaai, 531-537, 2000
3142000
Making rational decisions using adaptive utility elicitation
U Chajewska, D Koller, R Parr
AAAI/IAAI, 363-369, 2000
3102000
DP-SLAM 2.0
AI Eliazar, R Parr
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
2152004
Approximating optimal policies for partially observable stochastic domains
R Parr, S Russell
IJCAI 95, 1088-1094, 1995
2111995
Policy iteration for factored MDPs
D Koller, R Parr
arXiv preprint arXiv:1301.3869, 2013
1772013
Complexity of computing optimal stackelberg strategies in security resource allocation games
D Korzhyk, V Conitzer, R Parr
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
1752010
Computing factored value functions for policies in structured MDPs
D Koller, R Parr
IJCAI 99, 1332-1339, 1999
1711999
Reinforcement learning as classification: Leveraging modern classifiers
MG Lagoudakis, R Parr
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
1662003
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
R Parr, L Li, G Taylor, C Painter-Wakefield, ML Littman
Proceedings of the 25th international conference on Machine learning, 752-759, 2008
1602008
Analyzing feature generation for value-function approximation
R Parr, C Painter-Wakefield, L Li, M Littman
Proceedings of the 24th international conference on Machine learning, 737-744, 2007
1532007
Inference in hybrid networks: Theoretical limits and practical algorithms
U Lerner, R Parr
Proceedings of the Seventeenth conference on Uncertainty in artificial …, 2001
1432001
Flexible decomposition algorithms for weakly coupled Markov decision problems
R Parr
arXiv preprint arXiv:1301.7405, 2013
1362013
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