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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]


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