Ronald Parr
Ronald Parr
Professor of Computer Science, Duke University
Verified email at cs.duke.edu - Homepage
Title
Cited by
Cited by
Year
Least-squares policy iteration
MG Lagoudakis, R Parr
Journal of machine learning research 4 (Dec), 1107-1149, 2003
13552003
Reinforcement learning with hierarchies of machines
R Parr, S Russell
Advances in neural information processing systems 10, 1043-1049, 1997
8051997
Efficient solution algorithms for factored MDPs
C Guestrin, D Koller, R Parr, S Venkataraman
Journal of Artificial Intelligence Research 19, 399-468, 2003
5422003
Multiagent planning with factored MDPs
C Guestrin, D Koller, R Parr
Advances in neural information processing systems 14, 1523-1530, 2001
5032001
DP-SLAM: Fast, robust simultaneous localization and mapping without predetermined landmarks
A Eliazar, R Parr
IJCAI 3, 1135-1142, 2003
4462003
Coordinated reinforcement learning
C Guestrin, M Lagoudakis, R Parr
ICML 2, 227-234, 2002
4012002
Provably bounded-optimal agents
SJ Russell, D Subramanian
Journal of Artificial Intelligence Research 2, 575-609, 1994
3931994
Making rational decisions using adaptive utility elicitation
U Chajewska, D Koller, R Parr
AAAI/IAAI, 363-369, 2000
3412000
Hierarchical control and learning for Markov decision processes
RE Parr, S Russell
University of California, Berkeley, 1998
3401998
Bayesian fault detection and diagnosis in dynamic systems
U Lerner, R Parr, D Koller, G Biswas
Aaai/iaai, 531-537, 2000
3202000
DP-SLAM 2.0
AI Eliazar, R Parr
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
2272004
Approximating optimal policies for partially observable stochastic domains
R Parr, S Russell
IJCAI 95, 1088-1094, 1995
2161995
Policy iteration for factored MDPs
D Koller, R Parr
arXiv preprint arXiv:1301.3869, 2013
1902013
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
1902010
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
1902008
Reinforcement learning as classification: Leveraging modern classifiers
MG Lagoudakis, R Parr
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
1852003
Computing factored value functions for policies in structured MDPs
D Koller, R Parr
IJCAI 99, 1332-1339, 1999
1761999
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
1632007
Max-norm projections for factored MDPs
C Guestrin, D Koller, R Parr
IJCAI 1, 673-682, 2001
1462001
Inference in hybrid networks: Theoretical limits and practical algorithms
U Lerner, R Parr
arXiv preprint arXiv:1301.2288, 2013
1432013
The system can't perform the operation now. Try again later.
Articles 1–20