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Ronald Parr

Papers on DiSC'03


XPathLearner: An On-line Self-Tuning Markov Histogram for XML Path Selectivity Estimation

Publications


Note: Links lead to the DBLP on the Web.

Ronald Parr

19 Carlos Guestrin , Michail G. Lagoudakis , Ronald Parr: Coordinated Reinforcement Learning. ICML 2002 : 227-234

18 Michail G. Lagoudakis , Ronald Parr, Michael L. Littman : Least-Squares Methods in Reinforcement Learning for Control. SETN 2002 : 249-260

17 Michail G. Lagoudakis , Ronald Parr: Value Function Approximation in Zero-Sum Markov Games. UAI 2002 : 283-292

16 Lipyeow Lim , Min Wang , Sriram Padmanabhan , Jeffrey Scott Vitter , Ronald Parr: XPathLearner: An On-line Self-Tuning Markov Histogram for XML Path Selectivity Estimation. VLDB 2002 : 442-453

15 Carlos Guestrin , Daphne Koller , Ronald Parr: Max-norm Projections for Factored MDPs. IJCAI 2001 : 673-682

14 Carlos Guestrin , Daphne Koller , Ronald Parr: Multiagent Planning with Factored MDPs. NIPS 2001 : 1523-1530

13 Michail G. Lagoudakis , Ronald Parr: Model-Free Least-Squares Policy Iteration. NIPS 2001 : 1547-1554

12 Uri Lerner , Ronald Parr: Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms. UAI 2001 : 310-318

11 Urszula Chajewska , Daphne Koller , Ronald Parr: Making Rational Decisions Using Adaptive Utility Elicitation. AAAI/IAAI 2000 : 363-369

10 Uri Lerner , Ronald Parr, Daphne Koller , Gautam Biswas : Bayesian Fault Detection and Diagnosis in Dynamic Systems. AAAI/IAAI 2000 : 531-537

9 Daphne Koller , Ronald Parr: Policy Iteration for Factored MDPs. UAI 2000 : 326-334

8 Daphne Koller , Ronald Parr: Computing Factored Value Functions for Policies in Structured MDPs. IJCAI 1999 : 1332-1339

7 Andrew Y. Ng , Ronald Parr, Daphne Koller : Policy Search via Density Estimation. NIPS 1999 : 1022-1028

6 Andrés Rodriguez , Ronald Parr, Daphne Koller : Reinforcement Learning Using Approximate Belief States. NIPS 1999 : 1036-1042

5 Ronald Parr: Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems. UAI 1998 : 422-430

4 David Andre , Nir Friedman , Ronald Parr: Generalized Prioritized Sweeping. NIPS 1997

3 Ronald Parr, Stuart J. Russell : Reinforcement Learning with Hierarchies of Machines. NIPS 1997

2 Ronald Parr, Stuart J. Russell : Approximating Optimal Policies for Partially Observable Stochastic Domains. IJCAI 1995 : 1088-1095

1 Stuart J. Russell , Devika Subramanian , Ronald Parr: Provably Bounded Optimal Agents. IJCAI 1993 : 338-345




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