Doina Precup

2008
50	EE	Masoumeh T. Izadi, Doina Precup: Point-Based Planning for Predictive State Representations. Canadian Conference on AI 2008: 126-137
49	EE	Jordan Frank, Shie Mannor, Doina Precup: Reinforcement learning in the presence of rare events. ICML 2008: 336-343
48	EE	Jonathan Taylor, Doina Precup, Prakash Panangaden: Bounding Performance Loss in Approximate MDP Homomorphisms. NIPS 2008: 1649-1656
47	EE	Rupert Brooks, Tal Arbel, Doina Precup: Anytime similarity measures for faster alignment. Computer Vision and Image Understanding 110(3): 378-389 (2008)
2007
46	EE	Robin Jaulmes, Joelle Pineau, Doina Precup: A formal framework for robot learning and control under model uncertainty. ICRA 2007: 2104-2110
45	EE	Rupert Brooks, Tal Arbel, Doina Precup: Fast Image Alignment Using Anytime Algorithms. IJCAI 2007: 2078-2083
44	EE	Pablo Samuel Castro, Doina Precup: Using Linear Programming for Bayesian Exploration in Markov Decision Processes. IJCAI 2007: 2437-2442
43	EE	Marc G. Bellemare, Doina Precup: Context-Driven Predictions. IJCAI 2007: 250-255
42	EE	Robin 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)
2006
41		Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup: Representing Systems with Hidden State. AAAI 2006
40	EE	Masoumeh T. Izadi, Doina Precup, Danielle Azar: Belief Selection in Point-Based Planning Algorithms for POMDPs. Canadian Conference on AI 2006: 383-394
39	EE	Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup: PAC-Learning of Markov Models with Hidden State. ECML 2006: 150-161
38	EE	Philipp W. Keller, Shie Mannor, Doina Precup: Automatic basis function construction for approximate dynamic programming and reinforcement learning. ICML 2006: 449-456
37	EE	Beibei Zou, Xuesong Ma, Bettina Kemme, Glen Newton, Doina Precup: Data Mining Using Relational Database Management Systems. PAKDD 2006: 657-667
36	EE	Norm Ferns, Pablo Samuel Castro, Doina Precup, Prakash Panangaden: Methods for Computing State Similarity in Markov Decision Processes. UAI 2006
2005
35	EE	Masoumeh T. Izadi, Doina Precup: Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes. ECML 2005: 593-600
34	EE	Robin Jaulmes, Joelle Pineau, Doina Precup: Active Learning in Partially Observable Markov Decision Processes. ECML 2005: 601-608
33	EE	Masoumeh T. Izadi, Doina Precup: Model minimization by linear PSR. IJCAI 2005: 1749-1750
32	EE	Masoumeh T. Izadi, Ajit V. Rajwade, Doina Precup: Using core beliefs for point-based value iteration. IJCAI 2005: 1751-1753
31	EE	Doina Precup, Richard S. Sutton, Cosmin Paduraru, Anna Koop, Satinder P. Singh: Off-policy Learning with Options and Recognizers. NIPS 2005
30	EE	Alexandre Bouchard-Côté, Norm Ferns, Prakash Panangaden, Doina Precup: An approximation algorithm for labelled Markov processes: towards realistic approximation. QEST 2005: 54-62
29	EE	Norm 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
26	EE	Philipp W. Keller, Felix-Olivier Duguay, Doina Precup: RedAgent-2003: An Autonomous Market-Based Supply-Chain Management Agent. AAMAS 2004: 1182-1189
25	EE	Bohdana Ratitch, Doina Precup: Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning. ECML 2004: 347-358
24	EE	Norm Ferns, Prakash Panangaden, Doina Precup: Metrics for Finite Markov Decision Processes. UAI 2004: 162-169
23	EE	Doina Precup, Paul E. Utgoff: Classification Using Phi-Machines and Constructive Function Approximation. Machine Learning 55(1): 31-52 (2004)
22	EE	Philipp W. Keller, Felix-Olivier Duguay, Doina Precup: Redagent: winner of TAC SCM 2003. SIGecom Exchanges 4(3): 1-8 (2004)
2003
21	EE	Bohdana 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
18	EE	Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari A. Sahraoui: Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. ASE 2002: 285-288
17	EE	Bohdana Ratitch, Doina Precup: Characterizing Markov Decision Processes. ECML 2002: 391-404
16	EE	Theodore J. Perkins, Doina Precup: A Convergent Form of Approximate Policy Iteration. NIPS 2002: 1595-1602
15	EE	Martin Stolle, Doina Precup: Learning Options in Reinforcement Learning. SARA 2002: 212-223
14	EE	Ioan 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
12	EE	Ioan Alfred Letia, Doina Precup: Developing Collaborative Golog Agents by Reinforcement Learning. ICTAI 2001: 195-202
2000
11	EE	Catherine 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
9	EE	Richard 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
5	EE	Richard 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
3	EE	Catherine 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

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

Colors in the list of coauthors