Doina Precup

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50EEMasoumeh T. Izadi, Doina Precup: Point-Based Planning for Predictive State Representations. Canadian Conference on AI 2008: 126-137
49EEJordan Frank, Shie Mannor, Doina Precup: Reinforcement learning in the presence of rare events. ICML 2008: 336-343
48EEJonathan Taylor, Doina Precup, Prakash Panangaden: Bounding Performance Loss in Approximate MDP Homomorphisms. NIPS 2008: 1649-1656
47EERupert Brooks, Tal Arbel, Doina Precup: Anytime similarity measures for faster alignment. Computer Vision and Image Understanding 110(3): 378-389 (2008)
46EERobin Jaulmes, Joelle Pineau, Doina Precup: A formal framework for robot learning and control under model uncertainty. ICRA 2007: 2104-2110
45EERupert Brooks, Tal Arbel, Doina Precup: Fast Image Alignment Using Anytime Algorithms. IJCAI 2007: 2078-2083
44EEPablo Samuel Castro, Doina Precup: Using Linear Programming for Bayesian Exploration in Markov Decision Processes. IJCAI 2007: 2437-2442
43EEMarc G. Bellemare, Doina Precup: Context-Driven Predictions. IJCAI 2007: 250-255
42EERobin Jaulmes, Joelle Pineau, Doina Precup: Apprentissage actif dans les processus décisionnels de Markov partiellement observables L'algorithme MEDUSA. Revue d'Intelligence Artificielle 21(1): 9-34 (2007)
41 Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup: Representing Systems with Hidden State. AAAI 2006
40EEMasoumeh T. Izadi, Doina Precup, Danielle Azar: Belief Selection in Point-Based Planning Algorithms for POMDPs. Canadian Conference on AI 2006: 383-394
39EERicard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup: PAC-Learning of Markov Models with Hidden State. ECML 2006: 150-161
38EEPhilipp W. Keller, Shie Mannor, Doina Precup: Automatic basis function construction for approximate dynamic programming and reinforcement learning. ICML 2006: 449-456
37EEBeibei Zou, Xuesong Ma, Bettina Kemme, Glen Newton, Doina Precup: Data Mining Using Relational Database Management Systems. PAKDD 2006: 657-667
36EENorm Ferns, Pablo Samuel Castro, Doina Precup, Prakash Panangaden: Methods for Computing State Similarity in Markov Decision Processes. UAI 2006
35EEMasoumeh T. Izadi, Doina Precup: Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes. ECML 2005: 593-600
34EERobin Jaulmes, Joelle Pineau, Doina Precup: Active Learning in Partially Observable Markov Decision Processes. ECML 2005: 601-608
33EEMasoumeh T. Izadi, Doina Precup: Model minimization by linear PSR. IJCAI 2005: 1749-1750
32EEMasoumeh T. Izadi, Ajit V. Rajwade, Doina Precup: Using core beliefs for point-based value iteration. IJCAI 2005: 1751-1753
31EEDoina Precup, Richard S. Sutton, Cosmin Paduraru, Anna Koop, Satinder P. Singh: Off-policy Learning with Options and Recognizers. NIPS 2005
30EEAlexandre Bouchard-Côté, Norm Ferns, Prakash Panangaden, Doina Precup: An approximation algorithm for labelled Markov processes: towards realistic approximation. QEST 2005: 54-62
29EENorm Ferns, Prakash Panangaden, Doina Precup: Metrics for Markov Decision Processes with Infinite State Spaces. UAI 2005: 201-208
28 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. AI Magazine 26(1): 103-108 (2005)
27 Norm Ferns, Prakash Panangaden, Doina Precup: Metrics for Finite Markov Decision Processes. AAAI 2004: 950-951
26EEPhilipp W. Keller, Felix-Olivier Duguay, Doina Precup: RedAgent-2003: An Autonomous Market-Based Supply-Chain Management Agent. AAMAS 2004: 1182-1189
25EEBohdana Ratitch, Doina Precup: Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning. ECML 2004: 347-358
24EENorm Ferns, Prakash Panangaden, Doina Precup: Metrics for Finite Markov Decision Processes. UAI 2004: 162-169
23EEDoina Precup, Paul E. Utgoff: Classification Using Phi-Machines and Constructive Function Approximation. Machine Learning 55(1): 31-52 (2004)
22EEPhilipp W. Keller, Felix-Olivier Duguay, Doina Precup: Redagent: winner of TAC SCM 2003. SIGecom Exchanges 4(3): 1-8 (2004)
21EEBohdana Ratitch, Doina Precup: Using MDP Characteristics to Guide Exploration in Reinforcement Learning. ECML 2003: 313-324
20 François Rivest, Doina Precup: Combining TD-learning with Cascade-correlation Networks. ICML 2003: 632-639
19 Masoumeh T. Izadi, Doina Precup: A Planning Algorithm for Predictive State Representations. IJCAI 2003: 1520-1521
18EEDanielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari A. Sahraoui: Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. ASE 2002: 285-288
17EEBohdana Ratitch, Doina Precup: Characterizing Markov Decision Processes. ECML 2002: 391-404
16EETheodore J. Perkins, Doina Precup: A Convergent Form of Approximate Policy Iteration. NIPS 2002: 1595-1602
15EEMartin Stolle, Doina Precup: Learning Options in Reinforcement Learning. SARA 2002: 212-223
14EEIoan Alfred Letia, Doina Precup: Developing Collaborative Golog Agents by Reinforcement Learning. International Journal on Artificial Intelligence Tools 11(2): 233-246 (2002)
13 Doina Precup, Richard S. Sutton, Sanjoy Dasgupta: Off-Policy Temporal Difference Learning with Function Approximation. ICML 2001: 417-424
12EEIoan Alfred Letia, Doina Precup: Developing Collaborative Golog Agents by Reinforcement Learning. ICTAI 2001: 195-202
11EECatherine C. McGeoch, Peter Sanders, Rudolf Fleischer, Paul R. Cohen, Doina Precup: Using Finite Experiments to Study Asymptotic Performance. Experimental Algorithmics 2000: 93-126
10 Doina Precup, Richard S. Sutton, Satinder P. Singh: Eligibility Traces for Off-Policy Policy Evaluation. ICML 2000: 759-766
9EERichard S. Sutton, Doina Precup, Satinder P. Singh: Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning. Artif. Intell. 112(1-2): 181-211 (1999)
8 Doina Precup, Richard S. Sutton, Satinder P. Singh: Theoretical Results on Reinforcement Learning with Temporally Abstract Options. ECML 1998: 382-393
7 Doina Precup, Paul E. Utgoff: Classification Using Phi-Machines and Constructive Function Approximation. ICML 1998: 439-444
6 Richard S. Sutton, Doina Precup, Satinder P. Singh: Intra-Option Learning about Temporally Abstract Actions. ICML 1998: 556-564
5EERichard S. Sutton, Satinder P. Singh, Doina Precup, Balaraman Ravindran: Improved Switching among Temporally Abstract Actions. NIPS 1998: 1066-1072
4 Doina Precup, Richard S. Sutton: Exponentiated Gradient Methods for Reinforcement Learning. ICML 1997: 272-277
3EECatherine C. McGeoch, Doina Precup, Paul R. Cohen: How to Find Big-Oh in Your Data Set (and How Not to). IDA 1997: 41-52
2 J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff: Learning to Schedule Straight-Line Code. NIPS 1997
1 Doina Precup, Richard S. Sutton: Multi-time Models for Temporally Abstract Planning. NIPS 1997

Coauthor Index

1Sarabjot S. Anand (Sarab S. Anand) [28]
2Tal Arbel [45] [47]
3Danielle Azar [18] [40]
4Marc G. Bellemare [43]
5Bettina Berendt [28]
6Piero P. Bonissone [28]
7Alexandre Bouchard-Côté [30]
8Salah Bouktif [18]
9Carla E. Brodley [2]
10Rupert Brooks [45] [47]
11Pablo Samuel Castro [36] [44]
12John Cavazos [2]
13William Cheetham [28]
14Paul R. Cohen [3] [11]
15Silvia Coradeschi [28]
16Daniel D. Corkill [28]
17Sanjoy Dasgupta [13]
18Frank Dignum (F. P. M. Dignum) [28]
19Virginia Dignum [28]
20Felix-Olivier Duguay [22] [26]
21Daniela Pucci de Farias [28]
22Norm Ferns [24] [27] [29] [30] [36]
23Rudolf Fleischer [11]
24Jordan Frank [49]
25Dan Fu [28]
26Ricard Gavaldà [39]
27Mohammad Ghavamzadeh [28]
28Kai Goebel [28]
29Hans W. Guesgen [28]
30Andreas Hotho [28]
31Christopher Hundt [41]
32Masoumeh T. Izadi [19] [32] [33] [35] [40] [50]
33Robin Jaulmes [34] [42] [46]
34Randolph M. Jones [28]
35Catholijn M. Jonker [28]
36Balázs Kégl [18]
37Philipp W. Keller [22] [26] [38] [39]
38Bettina Kemme [37]
39Anna Koop [31]
40Ioan Alfred Letia [12] [14]
41Xuesong Ma [37]
42Shie Mannor [28] [38] [49]
43Catherine C. McGeoch [3] [11]
44Bamshad Mobasher [28]
45J. Eliot B. Moss [2]
46Ion Muslea [28]
47Glen Newton [37]
48Jeff Orkin [28]
49Cosmin Paduraru [31]
50Prakash Panangaden [24] [27] [29] [30] [36] [41] [48]
51Theodore J. Perkins [16]
52Joelle Pineau [34] [39] [41] [42] [46]
53Ajit V. Rajwade [32]
54Bohdana Ratitch [17] [21] [25]
55Balaraman Ravindran [5]
56François Rivest [20]
57Michael T. Rosenstein [28]
58Alessandro Saffiotti [28]
59Houari A. Sahraoui [18]
60Peter Sanders [11]
61David Scheeff [2]
62Matthias Scheutz [28]
63Satinder P. Singh [5] [6] [8] [9] [10] [31]
64Leen-Kiat Soh [28]
65Darko Stefanovic [2]
66Martin Stolle [15]
67Richard S. Sutton [1] [4] [5] [6] [8] [9] [10] [13] [31]
68Jonathan Taylor [48]
69Georgios Theocharous [28]
70Paul E. Utgoff [2] [7] [23]
71Robert E. Wray III [28]
72Beibei Zou [37]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)