Scott Sanner

Amanda Jane Coles, Andrew Coles, Angel García Olaya, Sergio Jiménez, Carlos Linares López, Scott Sanner, Sungwook Yoon: A Survey of the Seventh International Planning Competition. AI Magazine 33(1) (2012)

Scott Sanner, Ehsan Abbasnejad: Symbolic Variable Elimination for Discrete and Continuous Graphical Models. AAAI 2012

Zahra Zamani, Scott Sanner, Cheng Fang: Symbolic Dynamic Programming for Continuous State and Action MDPs. AAAI 2012

Zahra Zamani, Scott Sanner, Pascal Poupart, Kristian Kersting: Symbolic Dynamic Programming for Continuous State and Observation POMDPs. NIPS 2012: 1403-1411

Shengbo Guo, Scott Sanner, Thore Graepel, Wray L. Buntine: Score-Based Bayesian Skill Learning. ECML/PKDD (1) 2012: 106-121

Kar Wai Lim, Scott Sanner, Shengbo Guo: On the mathematical relationship between expected n-call@k and the relevance vs. diversity trade-off. SIGIR 2012: 1117-1118

Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin V. Bonilla, Ehsan Abbasnejad, Nicolás Della Penna: New objective functions for social collaborative filtering. WWW 2012: 859-868

Scott Sanner, Marcus Hutter (Eds.): Recent Advances in Reinforcement Learning - 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7188, Springer 2012, isbn 978-3-642-29945-2

Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros: Symbolic Dynamic Programming for Discrete and Continuous State MDPs. CoRR abs/1202.3762 (2012)

Scott Sanner, Craig Boutilier: Approximate Linear Programming for First-order MDPs. CoRR abs/1207.1415 (2012)

Karina Valdivia Delgado, Scott Sanner, Leliane Nunes de Barros: Efficient solutions to factored MDPs with imprecise transition probabilities. Artif. Intell. 175(9-10): 1498-1527 (2011)

Karina Valdivia Delgado, Leliane Nunes de Barros, Fabio Gagliardi Cozman, Scott Sanner: Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities. Int. J. Approx. Reasoning 52(7): 1000-1017 (2011)

Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi: Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model. CIKM 2011: 1977-1980

Babak Ahmadi, Kristian Kersting, Scott Sanner: Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter. IJCAI 2011: 1152-1158

Matthew W. Robards, Peter Sunehag, Scott Sanner, Bhaskara Marthi: Sparse Kernel-SARSA(λ) with an Eligibility Trace. ECML/PKDD (3) 2011: 1-17

Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros: Symbolic Dynamic Programming for Discrete and Continuous State MDPs. UAI 2011: 643-652

Shengbo Guo, Scott Sanner: Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries. Journal of Machine Learning Research - Proceedings Track 9: 289-296 (2010)

Scott Sanner, Kristian Kersting: Symbolic Dynamic Programming for First-order POMDPs. AAAI 2010

Scott Sanner, William T. B. Uther, Karina Valdivia Delgado: Approximate dynamic programming with affine ADDs. AAMAS 2010: 1349-1356

Carlton Downey, Scott Sanner: Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda. ICML 2010: 311-318

Shengbo Guo, Scott Sanner: Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries. ISNN (1) 2010: 396-403

Edwin V. Bonilla, Shengbo Guo, Scott Sanner: Gaussian Process Preference Elicitation. NIPS 2010: 262-270

Karina Valdivia Delgado, Cheng Fang, Scott Sanner, Leliane Nunes de Barros: Symbolic Bounded Real-Time Dynamic Programming. SBIA 2010: 193-202

Shengbo Guo, Scott Sanner: Probabilistic latent maximal marginal relevance. SIGIR 2010: 833-834

Scott Sanner, Kristian Kersting: Symbolic Dynamic Programming. Encyclopedia of Machine Learning 2010: 946-954

Scott Sanner, Craig Boutilier: Practical solution techniques for first-order MDPs. Artif. Intell. 173(5-6): 748-788 (2009)

Karina Valdivia Delgado, Scott Sanner, Leliane Nunes de Barros, Fabio Gagliardi Cozman: Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities. ICAPS 2009

Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani: Bayesian Real-Time Dynamic Programming. IJCAI 2009: 1784-1789

Robby Goetschalckx, Scott Sanner, Kurt Driessens: Reinforcement Learning with the Use of Costly Features. ECAI 2008: 779-780

Robby Goetschalckx, Scott Sanner, Kurt Driessens: Reinforcement Learning with the Use of Costly Features. EWRL 2008: 124-135

Robby Goetschalckx, Kurt Driessens, Scott Sanner: Cost-Sensitive Parsimonious Linear Regression. ICDM 2008: 809-814

Scott Sanner, Craig Boutilier: Approximate Solution Techniques for Factored First-Order MDPs. ICAPS 2007: 288-295

Scott Sanner, Sheila A. McIlraith: An Ordered Theory Resolution Calculus for Hybrid Reasoning in First-Order Extensions of Description Logic. KR 2006: 100-111

Scott Sanner, Craig Boutilier: Practical Linear Value-approximation Techniques for First-order MDPs. UAI 2006

Scott Sanner, David A. McAllester: Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference. IJCAI 2005: 1384-1390

Scott Sanner, Craig Boutilier: Approximate Linear Programming for First-order MDPs. UAI 2005: 509-517

Scott Sanner, John R. Anderson, Christian Lebiere, Marsha C. Lovett: Achieving Efficient and Cognitively Plausible Learning in Backgammon. ICML 2000: 823-830