Doina Precup, Ph.D. - Publications

Affiliations: 
2000 University of Massachusetts, Amherst, Amherst, MA 
Area:
Reinforcement Learning

134 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Kanbar LJ, Shalish W, Robles-Rubio CA, Precup D, Brown K, Sant'Anna GM, Kearney RE. Correlation of clinical parameters with cardiorespiratory behavior in successfully extubated extremely preterm infants. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 4431-4. PMID 26737278 DOI: 10.1109/EMBC.2015.7319378  1
2015 Gourdeau P, Kanbar L, Shalish W, Sant'Anna G, Kearney R, Precup D. Feature selection and oversampling in analysis of clinical data for extubation readiness in extreme preterm infants. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 4427-30. PMID 26737277 DOI: 10.1109/EMBC.2015.7319377  1
2015 Kanbar LJ, Shalish W, Robles-Rubio CA, Precup D, Brown K, Sant'Anna GM, Kearney RE. Organizational principles of cloud storage to support collaborative biomedical research. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 1231-4. PMID 26736489 DOI: 10.1109/EMBC.2015.7318589  1
2015 Demirkus M, Precup D, Clark J, Arbel T. Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Estimating Binary Facial Attribute Classes in Real-World Face Videos. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 26415152 DOI: 10.1109/TPAMI.2015.2481396  1
2015 Subbanna N, Precup D, Arnold D, Arbel T. IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 514-26. PMID 26221699  1
2015 Jafarpour N, Izadi M, Precup D, Buckeridge DL. Quantifying the determinants of outbreak detection performance through simulation and machine learning. Journal of Biomedical Informatics. 53: 180-7. PMID 25445482 DOI: 10.1016/j.jbi.2014.10.009  1
2015 Farahmand AM, Precup D, Barreto AMS, Ghavamzadeh M. Classification-based approximate policy iteration Ieee Transactions On Automatic Control. 60: 2989-2993. DOI: 10.1109/TAC.2015.2418411  1
2015 Balle B, Panangaden P, Precup D. A canonical form for weighted automata and applications to approximate minimization Proceedings - Symposium On Logic in Computer Science. 2015: 701-712. DOI: 10.1109/LICS.2015.70  1
2015 Demirkus M, Precup D, Clark JJ, Arbel T. Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos Computer Vision and Image Understanding. 136: 128-145. DOI: 10.1016/j.cviu.2015.03.005  1
2015 Mann TA, Mannor S, Precup D. Approximate value iteration with temporally extended actions Journal of Artificial Intelligence Research. 53: 375-438.  1
2015 Ruan SS, Comanici G, Panangaden P, Precup D. Representation discovery for MDPs using bisimulation metrics Proceedings of the National Conference On Artificial Intelligence. 6: 4202-4203.  1
2015 Barreto AMS, Beirigo RL, Pineau J, Precup D. An expectation-maximization algorithm to compute a stochastic factorization from data Ijcai International Joint Conference On Artificial Intelligence. 2015: 3329-3336.  1
2015 Comanici G, Precup D, Panangaden P. Basis refinement strategies for linear value function approximation in MDPs Advances in Neural Information Processing Systems. 2015: 2899-2907.  1
2015 Bacon PL, Balle B, Precup D. Learning and planning with timing information in Markov decision processes Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 111-120.  1
2015 Bachman P, Precup D. Data generation as sequential decision making Advances in Neural Information Processing Systems. 2015: 3249-3257.  1
2014 Menze B, Reyes M, Van Leemput K. The Multimodal Brain TumorImage Segmentation Benchmark (BRATS). Ieee Transactions On Medical Imaging. PMID 25494501 DOI: 10.1109/TMI.2014.2377694  1
2014 Li K, Precup D, Perkins TJ. Pooled screening for synergistic interactions subject to blocking and noise Plos One. 9. PMID 24454940 DOI: 10.1371/journal.pone.0085864  1
2014 Demirkus M, Precup D, Clark JJ, Arbel T. Multi-layer temporal graphical model for head pose estimation in real-world videos 2014 Ieee International Conference On Image Processing, Icip 2014. 3392-3396. DOI: 10.1109/ICIP.2014.7025686  1
2014 Subbanna N, Precup D, Arbel T. Iterative multilevel MRF leveraging context and voxel information for brain tumour segmentation in MRI Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 400-405. DOI: 10.1109/CVPR.2014.58  1
2014 McCarthy SM, Precup D. Theoretical results on the effect of 'shortcut' actions in MDPs Connection Science. 26: 179-193. DOI: 10.1080/09540091.2014.885304  1
2014 Demirkus M, Precup D, Clark JJ, Arbel T. Probabilistic temporal head pose estimation using a hierarchical graphical model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8689: 328-344. DOI: 10.1007/978-3-319-10590-1_22  1
2014 Ferns N, Precup D, Knight S. Bisimulation for Markov decision processes through families of functional expressions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8464: 319-342. DOI: 10.1007/978-3-319-06880-0_17  1
2014 Ghourchian N, Precup D. Analyzing user trajectories from mobile device data with hierarchical Dirichlet processes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8436: 107-118. DOI: 10.1007/978-3-319-06483-3_10  1
2014 Sutton RS, Mahmood AR, Precup D, Van Hasselt H. A new Q(λ) with interim forward view and Monte Carlo equivalence 31st International Conference On Machine Learning, Icml 2014. 3: 1973-1988.  1
2014 Barreto AMS, Pineau J, Precup D. Policy iteration based on stochastic factorization Journal of Artificial Intelligence Research. 50: 763-803.  1
2014 Bachman P, Alsharif O, Precup D. Learning with pseudo-ensembles Advances in Neural Information Processing Systems. 4: 3365-3373.  1
2014 Bachman P, Farahmand AM, Precup D. Sample-based approximate regularization 31st International Conference On Machine Learning, Icml 2014. 5: 3977-4000.  1
2014 Grinberg Y, Precup D, Gendreau M. Optimizing energy production using policy search and predictive state representations Advances in Neural Information Processing Systems. 4: 2969-2977.  1
2014 Ferns N, Precup D. Bisimulation metrics are optimal value functions Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, Uai 2014. 210-219.  1
2013 Jafarpour N, Precup D, Izadi M, Buckeridge D. Using hierarchical mixture of experts model for fusion of outbreak detection methods. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2013: 663-9. PMID 24551367  1
2013 Subbanna NK, Precup D, Collins DL, Arbel T. Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 751-8. PMID 24505735 DOI: 10.1007/978-3-642-40811-3_94  1
2013 Frank J, Mannor S, Pineau J, Precup D. Time Series Analysis Using Geometric Template Matching. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 740-54. PMID 22641699 DOI: 10.1109/TPAMI.2012.121  1
2013 Frank J, Mannor S, Precup D. Generating storylines from sensor data Pervasive and Mobile Computing. 9: 838-847. DOI: 10.1016/j.pmcj.2013.07.005  1
2013 Bachman P, Precup D. Greedy confidence pursuit: A pragmatic approach to multi-bandit optimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8188: 241-256. DOI: 10.1007/978-3-642-40988-2_16  1
2013 Dinculescu M, Hundt C, Panangaden P, Pineau J, Precup D. The duality of state and observation in probabilistic transition systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7758: 206-230. DOI: 10.1007/978-3-642-36976-6_14  1
2013 Ghourchian N, Precup D. Smart classifier selection for activity recognition on wearable devices Icpram 2013 - Proceedings of the 2nd International Conference On Pattern Recognition Applications and Methods. 581-585.  1
2013 Fard MM, Grinberg Y, Farahmand AM, Pineau J, Precup D. Bellman error based feature generation using random projections on sparse spaces Advances in Neural Information Processing Systems 1
2013 Gehring C, Precup D. Smart exploration in reinforcement learning using absolute temporal difference errors 12th International Conference On Autonomous Agents and Multiagent Systems 2013, Aamas 2013. 2: 1037-1043.  1
2013 Kim B, Farahmand AM, Pineau J, Precup D. Learning from limited demonstrations Advances in Neural Information Processing Systems 1
2013 Grinberg Y, Precup D. Average reward optimization objective in partially observable domains 30th International Conference On Machine Learning, Icml 2013. 320-328.  1
2012 Precup D, Robles-Rubio CA, Brown KA, Kanbar L, Kaczmarek J, Chawla S, Sant'Anna GM, Kearney RE. Prediction of extubation readiness in extreme preterm infants based on measures of cardiorespiratory variability. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 5630-3. PMID 23367206 DOI: 10.1109/EMBC.2012.6347271  1
2012 Still S, Precup D. An information-theoretic approach to curiosity-driven reinforcement learning. Theory in Biosciences = Theorie in Den Biowissenschaften. 131: 139-48. PMID 22791268 DOI: 10.1007/s12064-011-0142-z  1
2012 Comanici G, Panangaden P, Precup D. On-the-fly algorithms for bisimulation metrics Proceedings - 2012 9th International Conference On Quantitative Evaluation of Systems, Qest 2012. 94-103. DOI: 10.1109/QEST.2012.30  1
2012 Demirkus M, Precup D, Clark JJ, Arbel T. Soft biometric trait classification from real-world face videos conditioned on head pose estimation Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 130-137. DOI: 10.1109/CVPRW.2012.6239227  1
2012 Hosseinzadeh A, Izadi M, Precup D, Buckeridge D. Mining administrative data to predict falls in the elderly population Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7310: 305-311. DOI: 10.1007/978-3-642-30353-1_28  1
2012 Pǎduraru C, Precup D, Pineau J. A framework for computing bounds for the return of a policy Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7188: 201-212. DOI: 10.1007/978-3-642-29946-9_21  1
2012 Castro PS, Precup D. Automatic construction of temporally extended actions for MDPs using bisimulation metrics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7188: 140-152. DOI: 10.1007/978-3-642-29946-9_16  1
2012 Comanici G, Precup D. Basis function discovery using spectral clustering and bisimulation metrics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7113: 85-99. DOI: 10.1007/978-3-642-28499-1_6  1
2012 Barreto AMS, Precup D, Pineau J. On-line reinforcement learning using incremental kernel-based stochastic factorization Advances in Neural Information Processing Systems. 2: 1484-1492.  1
2012 Farahmand AM, Precup D. Value pursuit iteration Advances in Neural Information Processing Systems. 2: 1340-1348.  1
2012 Fard MM, Grinberg Y, Pineau J, Precup D. Compressed least-squares regression on sparse spaces Proceedings of the National Conference On Artificial Intelligence. 2: 1054-1060.  1
2012 Bachman P, Precup D. Improved estimation in time varying models Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1735-1742.  1
2012 Warrick PA, Hamilton EF, Kearney RE, Precup D. A machine-learning approach to the detection of fetal hypoxia during labor and delivery Ai Magazine. 33: 79-90.  1
2012 Agmon N, Agrawal V, Aha DW, Aloimonos Y, Buckley D, Doshi P, Geib C, Grasso F, Green N, Johnston B, Kaliski B, Kiekintveld C, Law E, Lieberman H, Mengshoel OJ, ... ... Precup D, et al. Reports of the AAAI 2011 conference workshops Ai Magazine. 33: 57-70.  1
2012 Grinberg Y, Precup D. On average reward policy evaluation in infinite-state partially observable systems Journal of Machine Learning Research. 22: 449-457.  1
2011 Manea CN, Stanca VD, Precup D, Coman I. Vascular anatomical variants in renal surgery: classic and robotic approach. Romanian Journal of Morphology and Embryology = Revue Roumaine De Morphologie Et Embryologie. 52: 855-8. PMID 21892529  1
2011 Ferns N, Panangaden P, Precup D. Bisimulation metrics for continuous Markov decision processes Siam Journal On Computing. 40: 1662-1714. DOI: 10.1137/10080484X  1
2011 Frank J, Mannor S, Precup D. Activity recognition with mobile phones Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6913: 630-633. DOI: 10.1007/978-3-642-23808-6_44  1
2011 Barreto AMS, Precup D, Pineau J. Reinforcement learning using kernel-based stochastic factorization Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Modayil J, Precup D, Singh S. AAAI Workshop - Technical Report: Preface Aaai Workshop - Technical Report. vii.  1
2011 Bachman P, Precup D. Learning compact representations of time-varying processes Proceedings of the National Conference On Artificial Intelligence. 2: 1748-1749.  1
2011 Frank J, Mannor S, Precup D. Activity recognition with time-delay embeddings Aaai Spring Symposium - Technical Report. 13-14.  1
2011 Sutton RS, Modayil J, Degris MDT, Pilarski PM, White A, Precup D. Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction 10th International Conference On Autonomous Agents and Multiagent Systems 2011, Aamas 2011. 2: 713-720.  1
2010 Warrick PA, Hamilton EF, Precup D, Kearney RE. Classification of normal and hypoxic fetuses from systems modeling of intrapartum cardiotocography. Ieee Transactions On Bio-Medical Engineering. 57: 771-9. PMID 20659819 DOI: 10.1109/TBME.2009.2035818  1
2010 West R, Precup D, Pineau J. Automatically suggesting topics for augmenting text documents International Conference On Information and Knowledge Management, Proceedings. 929-938. DOI: 10.1145/1871437.1871556  1
2010 Frank J, Mannor S, Precup D. A novel similarity measure for time series data with applications to gait and activity recognition Ubicomp'10 - Proceedings of the 2010 Acm Conference On Ubiquitous Computing. 407-408. DOI: 10.1145/1864431.1864460  1
2010 Castro PS, Precup D. Smarter sampling in model-based bayesian reinforcement learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6321: 200-214. DOI: 10.1007/978-3-642-15880-3_19  1
2010 Panangaden P, Phillips C, Precup D, Sadrzadeh M. An algebraic approach to dynamic epistemic logic Ceur Workshop Proceedings. 573: 443-455.  1
2010 Andrews S, Kry P, Precup D. Learning control policies for virtual grasping applications Ceur Workshop Proceedings. 588: 12-14.  1
2010 Kaelin F, Precup D. An approach to inference in probabilistic relational models using block sampling Journal of Machine Learning Research. 13: 315-330.  1
2010 Castro PS, Precup D. Using bisimulation for policy transfer in MDPs Proceedings of the Adaptive and Learning Agents Workshop, Ala 2010 - in Conjunction With the 9th International Conference On Autonomous Agents and Multiagent Systems, Aamas 2010. 85-92.  1
2010 Frank J, Mannor S, Precup D. Activity and gait recognition with time-delay embeddings Proceedings of the National Conference On Artificial Intelligence. 3: 1581-1586.  1
2010 Warrick PA, Hamilton EF, Kearney RE, Precup D. A machine learning approach to the detection of fetal hypoxia during labor and delivery Proceedings of the National Conference On Artificial Intelligence. 3: 1865-1870.  1
2010 Dinculescu M, Precup D. Approximate predictive representations of partially observable systems Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 895-902.  1
2010 Comanici G, Precup D. Optimal policy switching algorithms for reinforcement learning Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 2: 709-714.  1
2009 Warrick PA, Hamilton EF, Precup D, Kearney RE. Identification of the dynamic relationship between intrapartum uterine pressure and fetal heart rate for normal and hypoxic fetuses. Ieee Transactions On Bio-Medical Engineering. 56: 1587-97. PMID 19237336 DOI: 10.1109/TBME.2009.2014878  1
2009 West R, Precup D, Pineau J. Completing Wikipedia's hyperlink structure through dimensionality reduction International Conference On Information and Knowledge Management, Proceedings. 1097-1106. DOI: 10.1145/1645953.1646093  1
2009 Sutton RS, Maei HR, Precup D, Bhatnagar S, Silver D, Szepesvári C, Wiewiora E. Fast gradient-descent methods for temporal-difference learning with linear function approximation Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 993-1000. DOI: 10.1145/1553374.1553501  1
2009 Zhioua S, Precup D, Laviolette F, Desharnais J. Learning the difference between partially observable dynamical systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5782: 664-677. DOI: 10.1007/978-3-642-04174-7_43  1
2009 Sutton RS, Maei HR, Precup D, Bhatnagar S, Silver D, Szepesvári C, Wiewiora E. Fast gradient-descent methods for temporal-difference learning with linear function approximation Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 993-1000.  1
2009 Maei HR, Szepesvari C, Bhatnagar S, Precup D, Silver D, Sutton RS. Convergent temporal-difference learning with arbitrary smooth function approximation Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1204-1212.  1
2009 West R, Pineau J, Precup D. Wikispeedia: An online game for inferring semantic distances between concepts Ijcai International Joint Conference On Artificial Intelligence. 1598-1603.  1
2009 Taylor JJ, Precup D, Panangaden P. Bounding performance loss in approximate MDP homomorphisms Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1649-1656.  1
2009 Castro PS, Panangaden P, Precup D. Equivalence relations in fully and partially observable Markov decision processes Ijcai International Joint Conference On Artificial Intelligence. 1653-1658.  1
2008 Warrick PA, Hamilton EF, Precup D, Kearney RE. Detecting the temporal extent of the impulse response function from intra-partum cardiotocography for normal and hypoxic fetuses. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2008: 2797-800. PMID 19163286 DOI: 10.1109/IEMBS.2008.4649783  1
2008 Brooks R, Arbel T, Precup D. Anytime similarity measures for faster alignment Computer Vision and Image Understanding. 110: 378-389. DOI: 10.1016/j.cviu.2007.09.011  1
2008 Izadi MT, Precup D. Point-based planning for predictive state representations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5032: 126-137. DOI: 10.1007/978-3-540-68825-9_13  1
2008 Frank J, Mannor S, Precup D. Reinforcement learning in the presence of rare events Proceedings of the 25th International Conference On Machine Learning. 336-343.  1
2007 Warrick PA, Kearney RE, Precup D, Hamilton EF. Low-order parametric system identification for intrapartum uterine pressure-fetal heart rate interaction. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2007: 5043-6. PMID 18003139 DOI: 10.1109/IEMBS.2007.4353473  1
2007 Warrick PA, Precup D, Hamilton EF, Kearney RE. Fetal heart rate deceleration detection using a discrete cosine transform implementation of singular spectrum analysis. Methods of Information in Medicine. 46: 196-201. PMID 17347755  1
2007 Jaulmes R, Pineau J, Precup D. Apprentissage actif dans les processus décisionnels de Markov partiellement observables L'algorithme MEDUSA Revue D'Intelligence Artificielle. 21: 9-33. DOI: 10.3166/ria.21.9-33  1
2007 Jaulmes R, Pineau J, Precup D. A formal framework for robot learning and control under model uncertainty Proceedings - Ieee International Conference On Robotics and Automation. 2104-2110. DOI: 10.1109/ROBOT.2007.363632  1
2007 Warrick PA, Kearney RE, Precup D, Hamilton EF. Time progression of a parametric impulse response function estimate from intra-partum cardiotocography for normal and hypoxic fetuses Computers in Cardiology. 34: 693-696. DOI: 10.1109/CIC.2007.4745580  1
2007 Azar D, Precup D. An adaptive approach to optimize software component quality predictive models: Case of stability New Technologies, Mobility and Security. 297-310. DOI: 10.1007/978-1-4020-6270-4-25  1
2007 Hundt C, Panagaden P, Pineau J, Precup D. Representing systems with hidden state Aaai Fall Symposium - Technical Report. 17-23.  1
2007 Castro PS, Precup D. Using linear programming for bayesian exploration in markov decision processes Ijcai International Joint Conference On Artificial Intelligence. 2437-2442.  1
2007 Bellemare MG, Precup D. Context-driven predictions Ijcai International Joint Conference On Artificial Intelligence. 250-255.  1
2007 Brooks R, Arbel T, Precup D. Fast image alignment using anytime algorithms Ijcai International Joint Conference On Artificial Intelligence. 2078-2083.  1
2006 Warrick PA, Kearney RE, Precup D, Hamilton EF. Linear models of intrapartum uterine pressure-fetal heart rate interaction for the normal and hypoxic fetus. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 6434-7. PMID 17946372 DOI: 10.1109/IEMBS.2006.259824  1
2006 Keller PW, Mannor S, Precup D. Automatic basis function construction for approximate dynamic programming and reinforcement learning Acm International Conference Proceeding Series. 148: 449-456. DOI: 10.1145/1143844.1143901  1
2006 Precup D, Keller PW, Duguay FO. RedAgent: An autonomous, market-based supply-chain management agent for the trading agents competition Multiagent Based Supply Chain Management. 135-154. DOI: 10.1007/978-3-540-33876-5_5  1
2006 Izadi MT, Precup D, Azar D. Belief selection in point-based planning algorithms for POMDPs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4013: 383-394. DOI: 10.1007/11766247_33  1
2006 Zou B, Ma X, Kemme B, Newton G, Precup D. Data mining using relational database management systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3918: 657-667. DOI: 10.1007/11731139_75  1
2006 Precup D, Keller PW, Duguay FO. Red agent: An autonomous, market-based supply-chain management agent for the trading agents competition Studies in Computational Intelligence. 28: 135-154.  1
2006 Ferns N, Castro PS, Precup D, Panangaden P. Methods for computing state similarity in Markov decision processes Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 174-181.  1
2006 Warrick PA, Kearney RE, Precup D, Hamilton EF. System-identification noise suppression for intra-partum cardiotocography to discriminate normal and hypoxic fetuses Computers in Cardiology. 33: 937-940.  1
2006 Gavaldà R, Keller PW, Pineau J, Precup D. PAC-learning of Markov Models with Hidden State Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4212: 150-161.  1
2005 Bouchard-Côté A, Ferns N, Panangaden P, Precup D. An approximation algorithm for labelled Markov processes: Towards realistic approximation Qest 2005 - Proceedings Second International Conference On the Quantitative Evaluation of Systems. 2005: 54-61. DOI: 10.1109/QEST.2005.4  1
2005 Jaulmes R, Pineau J, Precup D. Active learning in partially observable Markov decision processes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3720: 601-608. DOI: 10.1007/11564096_59  1
2005 Izadi MT, Precup D. Using rewards for belief state updates in partially observable markov decision processes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3720: 593-600. DOI: 10.1007/11564096_58  1
2005 Warrick PA, Precup D, Hamilton EF, Kearney RE. Fetal heart rate deceleration detection from the discrete cosine transform spectrum Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 7: 5555-5558.  1
2005 Ferns N, Panangaden P, Precup D. Metrics for Markov decision processes with infinite state spaces Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 201-208.  1
2005 Izadi MT, Rajwade AV, Precup D. Using core beliefs for point-based value iteration Ijcai International Joint Conference On Artificial Intelligence. 1751-1753.  1
2005 Precup D, Sutton RS, Paduraru C, Koop A, Singh S. Off-policy learning with options and recognizers Advances in Neural Information Processing Systems. 1097-1104.  1
2005 Izadi MT, Precup D. Model minimization by linear PSR Ijcai International Joint Conference On Artificial Intelligence. 1749-1750.  1
2005 Muslea I, Dignum V, Corkill D, Jonker C, Dignum F, Coradeschi S, Saffiotti A, Fu D, Orkin J, Cheetham W, Goebel K, Bonissone P, Soh LK, Jones RM, Wray RE, ... ... Precup D, et al. The workshop program at the Nineteenth National Conference on Artificial Intelligence Ai Magazine. 26: 103-108.  1
2004 Precup D, Utgoff PE. Classification Using φ-Machines and Constructive Function Approximation Machine Learning. 55: 31-52. DOI: 10.1023/B:MACH.0000019803.57720.7b  1
2004 Ferns N, Panangaden P, Precup D. Metrics for finite markov decision processes Proceedings of the National Conference On Artificial Intelligence. 950-951.  1
2004 Ratitch B, Mahadevan S, Precup D. Sparse distributed memories in reinforcement learning: Case studies Aaai Workshop - Technical Report. 85-90.  1
2004 Ratitch B, Precup D. Sparse Distributed Memories for on-line value-based reinforcement learning Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3201: 347-358.  1
2004 Keller PW, Duguay FO, Precup D. RedAgent-2003: An autonomous, market-based supply-chain management agent Proceedings of the Third International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas 2004. 3: 1182-1189.  1
2004 Bouktif S, Azar D, Precup D, Sahraoui H, Kégl B. Improving rule set based software quality prediction: A genetic algorithm-based approach Journal of Object Technology. 3: 227-241.  1
2003 Ratitch B, Precup D. Using MDP characteristics to guide exploration in reinforcement learning Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2837: 313-324.  1
2003 Rivest F, Precup D. Combining TD-learning with Cascade-correlation Networks Proceedings, Twentieth International Conference On Machine Learning. 2: 632-639.  1
2003 Izadi MT, Precup D. A planning algorithm for predictive state representations Ijcai International Joint Conference On Artificial Intelligence. 1520-1521.  1
2003 Perkins TJ, Precup D. A convergent form of approximate policy iteration Advances in Neural Information Processing Systems 1
2002 Ratitch B, Precup D. Characterizing Markov decision processes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2430: 391-404.  1
2002 Stolle M, Precup D. Learning options in reinforcement learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2371: 212-223.  1
2001 Boldeanu D, Sfrângeu C, Răducanu G, Precup D, Adrieş G. [The place of scintigraphy in the lung cancer diagnosis]. Pneumologia (Bucharest, Romania). 50: 17-21. PMID 11374375  1
2001 Letia IA, Precup D. Developing collaborative Golog agents by reinforcement learning Proceedings of the International Conference On Tools With Artificial Intelligence. 195-202.  1
1999 Sutton RS, Precup D, Singh S. Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning Artificial Intelligence. 112: 181-211. DOI: 10.1016/S0004-3702(99)00052-1  1
1999 Sutton RS, Singh S, Precup D, Ravindran B. Improved switching among temporally abstract actions Advances in Neural Information Processing Systems. 1066-1072.  1
1998 Precup D, Sutton RS. Multi-time models for temporally abstract planning Advances in Neural Information Processing Systems. 1050-1056.  1
1997 McGeoch CC, Precup D, Cohen PR. How to find big-oh in your data set (and how not to) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1280: 41-52.  1
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