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Doina Precup: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Norm Ferns, Prakash Panangaden, Doina Precup
    Metrics for Finite Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:950-951 [Conf]
  2. Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup
    Representing Systems with Hidden State. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Masoumeh T. Izadi, Doina Precup, Danielle Azar
    Belief Selection in Point-Based Planning Algorithms for POMDPs. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2006, pp:383-394 [Conf]
  4. Philipp W. Keller, Felix-Olivier Duguay, Doina Precup
    RedAgent-2003: An Autonomous Market-Based Supply-Chain Management Agent. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1182-1189 [Conf]
  5. Catherine C. McGeoch, Peter Sanders, Rudolf Fleischer, Paul R. Cohen, Doina Precup
    Using Finite Experiments to Study Asymptotic Performance. [Citation Graph (0, 0)][DBLP]
    Experimental Algorithmics, 2000, pp:93-126 [Conf]
  6. Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup
    PAC-Learning of Markov Models with Hidden State. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:150-161 [Conf]
  7. Masoumeh T. Izadi, Doina Precup
    Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:593-600 [Conf]
  8. Robin Jaulmes, Joelle Pineau, Doina Precup
    Active Learning in Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:601-608 [Conf]
  9. Doina Precup, Richard S. Sutton, Satinder P. Singh
    Theoretical Results on Reinforcement Learning with Temporally Abstract Options. [Citation Graph (0, 0)][DBLP]
    ECML, 1998, pp:382-393 [Conf]
  10. Bohdana Ratitch, Doina Precup
    Characterizing Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:391-404 [Conf]
  11. Bohdana Ratitch, Doina Precup
    Using MDP Characteristics to Guide Exploration in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:313-324 [Conf]
  12. Bohdana Ratitch, Doina Precup
    Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:347-358 [Conf]
  13. Philipp W. Keller, Shie Mannor, Doina Precup
    Automatic basis function construction for approximate dynamic programming and reinforcement learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:449-456 [Conf]
  14. François Rivest, Doina Precup
    Combining TD-learning with Cascade-correlation Networks. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:632-639 [Conf]
  15. Doina Precup, Richard S. Sutton
    Exponentiated Gradient Methods for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:272-277 [Conf]
  16. Doina Precup, Richard S. Sutton, Sanjoy Dasgupta
    Off-Policy Temporal Difference Learning with Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:417-424 [Conf]
  17. Doina Precup, Richard S. Sutton, Satinder P. Singh
    Eligibility Traces for Off-Policy Policy Evaluation. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:759-766 [Conf]
  18. Doina Precup, Paul E. Utgoff
    Classification Using Phi-Machines and Constructive Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:439-444 [Conf]
  19. Richard S. Sutton, Doina Precup, Satinder P. Singh
    Intra-Option Learning about Temporally Abstract Actions. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:556-564 [Conf]
  20. Ioan Alfred Letia, Doina Precup
    Developing Collaborative Golog Agents by Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2001, pp:195-202 [Conf]
  21. Catherine C. McGeoch, Doina Precup, Paul R. Cohen
    How to Find Big-Oh in Your Data Set (and How Not to). [Citation Graph (0, 0)][DBLP]
    IDA, 1997, pp:41-52 [Conf]
  22. Masoumeh T. Izadi, Doina Precup
    A Planning Algorithm for Predictive State Representations. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1520-1521 [Conf]
  23. Masoumeh T. Izadi, Doina Precup
    Model minimization by linear PSR. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1749-1750 [Conf]
  24. Masoumeh T. Izadi, Ajit V. Rajwade, Doina Precup
    Using core beliefs for point-based value iteration. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1751-1753 [Conf]
  25. Rupert Brooks, Tal Arbel, Doina Precup
    Fast Image Alignment Using Anytime Algorithms. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2078-2083 [Conf]
  26. Marc G. Bellemare, Doina Precup
    Context-Driven Predictions. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:250-255 [Conf]
  27. Pablo Samuel Castro, Doina Precup
    Using Linear Programming for Bayesian Exploration in Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2437-2442 [Conf]
  28. Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari A. Sahraoui
    Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ASE, 2002, pp:285-288 [Conf]
  29. J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff
    Learning to Schedule Straight-Line Code. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  30. Theodore J. Perkins, Doina Precup
    A Convergent Form of Approximate Policy Iteration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1595-1602 [Conf]
  31. Doina Precup, Richard S. Sutton
    Multi-time Models for Temporally Abstract Planning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  32. Doina Precup, Richard S. Sutton, Cosmin Paduraru, Anna Koop, Satinder P. Singh
    Off-policy Learning with Options and Recognizers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  33. Richard S. Sutton, Satinder P. Singh, Doina Precup, Balaraman Ravindran
    Improved Switching among Temporally Abstract Actions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1066-1072 [Conf]
  34. Beibei Zou, Xuesong Ma, Bettina Kemme, Glen Newton, Doina Precup
    Data Mining Using Relational Database Management Systems. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:657-667 [Conf]
  35. Alexandre Bouchard-Côté, Norm Ferns, Prakash Panangaden, Doina Precup
    An approximation algorithm for labelled Markov processes: towards realistic approximation. [Citation Graph (0, 0)][DBLP]
    QEST, 2005, pp:54-62 [Conf]
  36. Martin Stolle, Doina Precup
    Learning Options in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    SARA, 2002, pp:212-223 [Conf]
  37. Richard S. Sutton, Doina Precup, Satinder P. Singh
    Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1999, v:112, n:1-2, pp:181-211 [Journal]
  38. Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh
    The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:1, pp:103-108 [Journal]
  39. Ioan Alfred Letia, Doina Precup
    Developing Collaborative Golog Agents by Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2002, v:11, n:2, pp:233-246 [Journal]
  40. Doina Precup, Paul E. Utgoff
    Classification Using Phi-Machines and Constructive Function Approximation. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:1, pp:31-52 [Journal]
  41. Robin Jaulmes, Joelle Pineau, Doina Precup
    A formal framework for robot learning and control under model uncertainty. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2104-2110 [Conf]
  42. Norm Ferns, Prakash Panangaden, Doina Precup
    Metrics for Markov Decision Processes with Infinite State Spaces. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:201-208 [Conf]
  43. Norm Ferns, Prakash Panangaden, Doina Precup
    Metrics for Finite Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:162-169 [Conf]
  44. Norm Ferns, Pablo Samuel Castro, Doina Precup, Prakash Panangaden
    Methods for Computing State Similarity in Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  45. Activity and Gait Recognition with Time-Delay Embeddings. [Citation Graph (, )][DBLP]


  46. Using Bisimulation for Policy Transfer in MDPs. [Citation Graph (, )][DBLP]


  47. Point-Based Planning for Predictive State Representations. [Citation Graph (, )][DBLP]


  48. Using bisimulation for policy transfer in MDPs. [Citation Graph (, )][DBLP]


  49. Optimal policy switching algorithms for reinforcement learning. [Citation Graph (, )][DBLP]


  50. Completing wikipedia's hyperlink structure through dimensionality reduction. [Citation Graph (, )][DBLP]


  51. Reinforcement learning in the presence of rare events. [Citation Graph (, )][DBLP]


  52. Fast gradient-descent methods for temporal-difference learning with linear function approximation. [Citation Graph (, )][DBLP]


  53. Approximate Predictive Representations of Partially Observable Systems. [Citation Graph (, )][DBLP]


  54. Equivalence Relations in Fully and Partially Observable Markov Decision Processes. [Citation Graph (, )][DBLP]


  55. Wikispeedia: An Online Game for Inferring Semantic Distances between Concepts. [Citation Graph (, )][DBLP]


  56. Bounding Performance Loss in Approximate MDP Homomorphisms. [Citation Graph (, )][DBLP]


  57. Learning the Difference between Partially Observable Dynamical Systems. [Citation Graph (, )][DBLP]


  58. Smarter Sampling in Model-Based Bayesian Reinforcement Learning. [Citation Graph (, )][DBLP]


  59. Anytime similarity measures for faster alignment. [Citation Graph (, )][DBLP]


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