Doina Precup

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2008
46EEMasoumeh T. Izadi, Doina Precup: Point-Based Planning for Predictive State Representations. Canadian Conference on AI 2008: 126-137
2007
45EERobin Jaulmes, Joelle Pineau, Doina Precup: A formal framework for robot learning and control under model uncertainty. ICRA 2007: 2104-2110
44EERupert Brooks, Tal Arbel, Doina Precup: Fast Image Alignment Using Anytime Algorithms. IJCAI 2007: 2078-2083
43EEPablo Samuel Castro, Doina Precup: Using Linear Programming for Bayesian Exploration in Markov Decision Processes. IJCAI 2007: 2437-2442
42EEMarc G. Bellemare, Doina Precup: Context-Driven Predictions. IJCAI 2007: 250-255
2006
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
2005
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)
2004
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)
2003
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
2002
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)
2001
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
2000
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
1999
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)
1998
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
1997
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 [44]
3Danielle Azar [18] [40]
4Marc G. Bellemare [42]
5Bettina Berendt [28]
6Piero P. Bonissone [28]
7Alexandre Bouchard-Côté [30]
8Salah Bouktif [18]
9Carla E. Brodley [2]
10Rupert Brooks [44]
11Pablo Samuel Castro [36] [43]
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]
24Dan Fu [28]
25Ricard Gavaldà [39]
26Mohammad Ghavamzadeh [28]
27Kai Goebel [28]
28Hans W. Guesgen [28]
29Andreas Hotho [28]
30Christopher Hundt [41]
31Masoumeh T. Izadi [19] [32] [33] [35] [40] [46]
32Robin Jaulmes [34] [45]
33Randolph M. Jones [28]
34Catholijn M. Jonker [28]
35Balázs Kégl [18]
36Philipp W. Keller [22] [26] [38] [39]
37Bettina Kemme [37]
38Anna Koop [31]
39Ioan Alfred Letia [12] [14]
40Xuesong Ma [37]
41Shie Mannor [28] [38]
42Catherine C. McGeoch [3] [11]
43Bamshad Mobasher [28]
44J. Eliot B. Moss [2]
45Ion Muslea [28]
46Glen Newton [37]
47Jeff Orkin [28]
48Cosmin Paduraru [31]
49Prakash Panangaden [24] [27] [29] [30] [36] [41]
50Theodore J. Perkins [16]
51Joelle Pineau [34] [39] [41] [45]
52Ajit V. Rajwade [32]
53Bohdana Ratitch [17] [21] [25]
54Balaraman Ravindran [5]
55François Rivest [20]
56Michael T. Rosenstein [28]
57Alessandro Saffiotti [28]
58Houari A. Sahraoui [18]
59Peter Sanders [11]
60David Scheeff [2]
61Matthias Scheutz [28]
62Satinder P. Singh [5] [6] [8] [9] [10] [31]
63Leen-Kiat Soh [28]
64Darko Stefanovic [2]
65Martin Stolle [15]
66Richard S. Sutton [1] [4] [5] [6] [8] [9] [10] [13] [31]
67Georgios Theocharous [28]
68Paul E. Utgoff [2] [7] [23]
69Robert E. Wray III [28]
70Beibei Zou [37]

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Copyright © Wed Jul 23 13:04:14 2008 by Michael Ley (ley@uni-trier.de)