The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Ronald Parr: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Urszula Chajewska, Daphne Koller, Ronald Parr
    Making Rational Decisions Using Adaptive Utility Elicitation. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:363-369 [Conf]
  2. Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas
    Bayesian Fault Detection and Diagnosis in Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:531-537 [Conf]
  3. Austin I. Eliazar, Ronald Parr
    Learning probabilistic motion models for mobile robots. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  4. Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr
    Coordinated Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:227-234 [Conf]
  5. Michail G. Lagoudakis, Ronald Parr
    Reinforcement Learning as Classification: Leveraging Modern Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:424-431 [Conf]
  6. Austin I. Eliazar, Ronald Parr
    DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1135-1142 [Conf]
  7. Carlos Guestrin, Daphne Koller, Ronald Parr
    Max-norm Projections for Factored MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:673-682 [Conf]
  8. Daphne Koller, Ronald Parr
    Computing Factored Value Functions for Policies in Structured MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1332-1339 [Conf]
  9. Michail G. Lagoudakis, Ronald Parr
    Approximate Policy Iteration using Large-Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1432-1434 [Conf]
  10. Ronald Parr, Stuart J. Russell
    Approximating Optimal Policies for Partially Observable Stochastic Domains. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1088-1095 [Conf]
  11. Stuart J. Russell, Devika Subramanian, Ronald Parr
    Provably Bounded Optimal Agents. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:338-345 [Conf]
  12. David Andre, Nir Friedman, Ronald Parr
    Generalized Prioritized Sweeping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  13. Austin I. Eliazar, Ronald Parr
    Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  14. Carlos Guestrin, Daphne Koller, Ronald Parr
    Multiagent Planning with Factored MDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1523-1530 [Conf]
  15. Michail G. Lagoudakis, Ronald Parr
    Model-Free Least-Squares Policy Iteration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1547-1554 [Conf]
  16. Michail G. Lagoudakis, Ronald Parr
    Learning in Zero-Sum Team Markov Games Using Factored Value Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1627-1634 [Conf]
  17. Andrew Y. Ng, Ronald Parr, Daphne Koller
    Policy Search via Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:1022-1028 [Conf]
  18. Ronald Parr, Stuart J. Russell
    Reinforcement Learning with Hierarchies of Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  19. Andrés Rodríguez, Ronald Parr, Daphne Koller
    Reinforcement Learning Using Approximate Belief States. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:1036-1042 [Conf]
  20. Michail G. Lagoudakis, Ronald Parr, Michael L. Littman
    Least-Squares Methods in Reinforcement Learning for Control. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:249-260 [Conf]
  21. Daphne Koller, Ronald Parr
    Policy Iteration for Factored MDPs. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:326-334 [Conf]
  22. Michail G. Lagoudakis, Ronald Parr
    Value Function Approximation in Zero-Sum Markov Games. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:283-292 [Conf]
  23. Uri Lerner, Ronald Parr
    Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:310-318 [Conf]
  24. Ronald Parr
    Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:422-430 [Conf]
  25. Lipyeow Lim, Min Wang, Sriram Padmanabhan, Jeffrey Scott Vitter, Ronald Parr
    XPathLearner: An On-line Self-Tuning Markov Histogram for XML Path Selectivity Estimation. [Citation Graph (0, 0)][DBLP]
    VLDB, 2002, pp:442-453 [Conf]
  26. Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
    Efficient Solution Algorithms for Factored MDPs. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2003, v:19, n:, pp:399-468 [Journal]
  27. Michail G. Lagoudakis, Ronald Parr
    Least-Squares Policy Iteration. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1107-1149 [Journal]
  28. Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin
    Point-Based Policy Iteration. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1243-1249 [Conf]
  29. Ronald Parr, Christopher Painter-Wakefield, Lihong Li, Michael L. Littman
    Analyzing feature generation for value-function approximation. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:737-744 [Conf]
  30. Austin I. Eliazar, Ronald Parr
    DP-SLAM 2.0. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:1314-1320 [Conf]
  31. Monika Schaeffer, Ronald Parr
    Efficient Selection of Disambiguating Actions for Stereo Vision. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  32. Complexity of Computing Optimal Stackelberg Strategies in Security Resource Allocation Games. [Citation Graph (, )][DBLP]


  33. An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning. [Citation Graph (, )][DBLP]


  34. Kernelized value function approximation for reinforcement learning. [Citation Graph (, )][DBLP]


  35. Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. [Citation Graph (, )][DBLP]


  36. Multi-Step Multi-Sensor Hider-Seeker Games. [Citation Graph (, )][DBLP]


  37. Planning Aims for a Network of Horizontal and Overhead Sensors. [Citation Graph (, )][DBLP]


  38. Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes [Citation Graph (, )][DBLP]


Search in 0.052secs, Finished in 0.054secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002