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| Articles |
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Efficient Learning Equilibrium. Artificial Intelligence, 159(1-2):27-47, 2004. |
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C. Boutilier R. I. Brafman C. Domshlak H. H. Hoos and D. Poole. Preference-Based Constrained Optimization with CP-nets. Computational Intelligence, 20(2):137-157, 2004. |
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R. Brafman C. Domshlak and E. S. Shimony. Qualitative Decision Making in Adaptive Presentation of Structured Information. ACM Transaction on Information Systems, 22(4):503-539, 2004. |
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C. Boutilier R. I. Brafman C. Domshlak H. H. Hoos and D. Poole. CP-Nets: A Tool for Representing and Reasoning with Conditional \emphCeteris Paribus Preference Statements. Journal of Artificial Intelligence Research (JAIR), 21, 2004. |
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Ronen I. Brafman. A Simplifier for Propositional Formulas with Many Binary Clauses. IEEE Transactions on Systems, Man, and Cybernetics - B, 34(1):52-59, 2004. |
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R. I. Brafman and Y. Dimopolous. Extended Semantics and Optimization Algorithms for CP-Networks. Computational Intelligence, 20(2):218-245, 2004. |
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Ronen I. Brafman and Moshe Tennenholtz. Learning to Coordinate Efficiently: A Model-based Approach.. Journal of Artificial Intelligence Research (JAIR), 19:11-23, 2003. |
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Ronen I. Brafman and Carmel Domshlak. Structure and Complexity in Planning with Unary Operators.. Journal of Artificial Intelligence Research (JAIR), 18:315-349, 2003. |
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R. I. Brafman and M. Tennenholtz. R-max - A general polynomial time algorithm for near-optimal reinforcement learning. Journal of Machine Learning Research, 3:213-231, 2002. |
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Ronen I. Brafman and Nir Friedman. On decision-theoretic foundations for defaults.. Artificial Intelligence, 133(1-2):1-33, 2001. |
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R. I. Brafman. On Reachability, Relevance, and Resolution in the Planning as Satisfiabilty Approach. Journal of Artificial Intelligence Research, 14:1-28, 2001. |
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C. Boutilier and R. I. Brafman. Planing with Concurrent Interacting Actions. Journal of Artificial Intelligence Research, 14:105-136, 2001. |
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R. I. Brafman and M. Tennenholtz. An Axiomatic Treatment of Three Qualitative Decision Criteria. Journal of the ACM, 47(3), March 2000. |
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R. I. Brafman and M. Tennenholtz. A Near Optimal Polynomial Time Algorithm for Learning in Certain Classes of Stochastic Games. Artificial Intelligence, 47(3):452-482, 2000. |
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R. I. Brafman J. Halpern and Y. Shoham. On the Knowledge Requirements of Tasks. Artificial Intelligence, 98(1-2):317-350, 1998. |
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R. I. Brafman. A First-order Conditional Logic with Qualitative Statistical Semantics. Journal of Logic and Computation, 7(6):777-803, December 1997. |
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R. I. Brafman J. C. Latombe Y. Moses and Y. Shoham. Applications of a Logic of Knowledge to Motion Planning under Uncertainty. Journal of the ACM, September 1997. |
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R. I. Brafman and M. Tennenholtz. Modeling Agents as Qualitative Decision Makers. Artificial Intelligence, 94:217-268, 1997. |
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R. I. Brafman and M. Tennenholtz. On Partially Controlled Multi-Agent Systems. Journal of Artificial Intelligence Research, 4:477-503, 1996. |
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| Conference Articles |
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Ronen I. Brafman and Moshe Tennenholtz. Optimal Efficient Learning Equilibrium: Imperfect Monitoring in Symmetric Games. In AAAI, 2005. |
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Mausam E. Benezera R. I. Brafman N. Mealeau and E. Hansen. Planning with Continuous Resources in Stochastic Domains. In IJCAI, 2005. |
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Joerg Hoffmann and Ronen I. Brafman. Contingent Planning via Heuristic Forward Search with Implicit Belief States. In ICAPS, 2005. |
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Ronen I. Brafman and Yuri Chernyavsky. Planning with Goal Preferences and Constraints. In ICAPS, 2005. |
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Ronen I. Brafman and Jörg Hoffmann. Conformant Planning via Heuristic Forward Search: A New Approach.. In ICAPS, pages 355-364, 2004. |
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Guy Shani and Ronen I. Brafman. Resolving Perceptual Aliasing in the Presence of Noisy Sensors. In NIPS, 2004. |
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Ronen I. Brafman Carmel Domshlak and Tanya Kogan. Compact Value-Function Representations for Qualitative Preferences. In UAI, 2004. |
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Avi Bab and Ronen I. Brafman. An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games.. In ECML, pages 75-86, 2004. |
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R. I. Brafman and Y. Dimopoulos. A New Look at the Semantics and Optimization Methods of CP-Networks. In Proceedings of of the Eighteenth International Joint Conference on Artificial Intelligence, pages 1033-1038, 2003. |
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Ronen I. Brafman David Heckerman and Guy Shani. Recommendation as a Stochastic Sequential Decision Problem.. In ICAPS, pages 164-173, 2003. |
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R. Brafman and C. Domshlak. Introducing Variable Importance Tradeoffs into CP-Nets. In Workshop on Planning and Scheduling with Multiple Criteria, April 2002. |
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R. Brafman and C. Domshlak. TCP-nets for Preference-based Product Configuration. In Proceedings of the Fifth Workshop on Configuration, ECAI-2002, July 2002. |
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Carmel Domshlak and Ronen I. Brafman. Structure and Complexity in Planning with Unary Operators.. In AIPS, pages 34-43, 2002. |
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G. Shani R. I. Brafman and D. Heckerman. An MDP-Based Recommender System. In 18th Conference on Uncertainty in AI UAI`02, pages 453-460, 2002. |
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Ronen I. Brafman and Moshe Tennenholtz. Efficient Learning Equilibrium.. In NIPS, pages 1603-1610, 2002. |
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R. Brafman and C. Domshlak. Introducing Variable Importance Tradeoffs into CP-Nets. In Proc. 18th Conf. on Uncertainty in AI (UAI`02), 2002. |
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C. Domshlak and R. I. Brafman. CP-nets - Reasoning and Consistency Testing. In Proc. 8th Int. Conf. on KR&R, pages 121-132, 2002. |
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R. Brafman and C. Domshlak. CP-networks for Preference-based CSP. , pages 31-42, December 2001. Proceedings of the Workshop on Modelling and Solving Problems with Soft Constraints (in CP-01). |
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R. I. Brafman and M. Tennenholtz. R-max - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning. In IJCAI`01, 2001. |
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C. Domshlak R. I. Brafman and E. S. Shimony. Preference-Based Configuration of Web Page Content. In Proc. 17th International Joint Conference on AI (IJCAI`01), pages 1451-1456, 2001. |
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Ronen I. Brafman. A Simplifier for Propositional Formulas with Many Binary Clauses.. In IJCAI, pages 515-522, 2001. |
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Craig Boutilier Fahiem Bacchus and Ronen I. Brafman. UCP-Networks: A Directed Graphical Representation of Conditional Utilities.. In UAI, pages 56-64, 2001. |
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Igor Razgon and Ronen I. Brafman. A Forward Search Planning Algorithm with a Goal Ordering Heuristic. In Proc. European Conference on Planning (ECP), pages 25-36, 2001. |
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C. Domshlak and R. Brafman. Structure and Complexity in Planning with Unary Operators - Preliminary Report. In Proceedings of 14th Workshop "New Results in Planning Scheduling and Design",, pages 11-15, August 2000. |
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Carmel Domshlak Samir Genaim and Ronen Brafman. Preference-based Configuration of Web Page Content. In Proceedings of 3rd Workshop on Configuration, ECAI-2000, pages 19-22, August 2000. |
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Carmel Domshlak and Ronen Brafman. Structure and Complexity in Planning with Unary Operators. In Proceedings of 14th Workshop "New Results in Planning Scheduling and Design",, pages 11-15, August 2000. |
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C. Domshlak S. Genaim and R. Brafman. Preference-based Configuration of Web Page Content - Preliminary Report. In Proceedings of 3rd Workshop on Configuration, ECAI-2000, pages 19-22, August 2000. |
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R. I. Brafman and M. Tennenholtz. A near-optimal poly-time algorithm for learning in a class of stochastic games. In IJCAI`99, pages 734-739, 1999. |
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Ronen I. Brafman and Moshe Tennenholtz. A Near-Optimal Poly-Time Algorithm for Learning a class of Stochastic Games.. In IJCAI, pages 734-739, 1999. |
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Ronen I. Brafman. Reachability, Relevance, Resolution and the Planning as Satisfiability Approach.. In IJCAI, pages 976-981, 1999. |
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C. Boutilier R. I. Brafman H. H. Hoos and D. Poole. Reasoning with Conditional Ceteris Paribus Preference Statements. In UAI`99, pages 71-80, 1999. |
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R. I. Brafman and H. H. Hoos. To encode or not to encode - I: linear planning. In IJCAI`99, pages 988-993, 1999. |
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R. I. Brafman. Reachability, Relevance, Resolution, and the planning as satisfiability approach. In IJCAI`99, pages 976-981, 1999. |
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Craig Boutilier Ronen I. Brafman and Christopher W. Geib. Structured Reachability Analysis for Markov Decision Processes.. In UAI, pages 24-32, 1998. |
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R. I. Brafman H. H. Hoos and C. Boutilier. LPSP - A linear plan-level stochastic planner. In Proceedings of the 17th Workshop of the UK Planning and Scheduling Special Interest Group, pages 3-16, 1998. |
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C. Boutilier R. I. Brafman and C. Geib. Structured Reachability Analysis for Markov Decision Processes. In Proc. of 14th Conference on Uncertainty in AI, pages 24-32, 1998. |
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R. I. Brafman and Moshe Tennenholtz. On the foundations of qualitative decision theory. In Proc.of the 14th National Conference on AI (AAAI `97), pages 76-81, 1997. |
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C. Boutilier and R. I. Brafman. Planning with Concurrent Interacting Actions. In Proc. of the 14th National Conference on AI (AAAI `97), pages 720-726, 1997. |
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R. I. Brafman and Moshe Tennenholtz. On the Axiomatization of Qualitative Decision Criteria. In AAAI Spring Symposium on Qualitative Preferences in Deliberation and Practical Reasoning, 1997. |
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C. Boutilier R. I. Brafman and C. Geib. Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning. In Proc. of 15th International Joint Conference on Artificial Intelligence (IJCAI `97), 1997. |
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C. Boutilier R. I. Brafman C. Geib and D. Poole. Reasoning with Ceteris Paribus Preference Statements. In AAAI Spring Symposium on Qualitative Preferences in Deliberation and Practical Reasoning, 1997. |
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R. I. Brafman. A Heuristic Variable Grid Solution Method for POMDPs. In Proc. of the 14th National Conference on AI (AAAI `97), pages 727-733, 1997. |
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R. I. Brafman and Moshe Tennenholtz. On the foundations of qualitative decision theory. In Proc.of the 13th National Conference on AI (AAAI `96), pages 1291-1296, 1996. |
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Ronen I. Brafman. statistical" First-order Conditionals. In Proc. of the 5th Intl. Conf. on Principles of Knowledge Representation and Reasoning (KR`96), 1996. |
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R. I. Brafman and M. Tennenholtz. Action Prediction using a Mental-level model. In Proc. of the AAAI Spring Symposium on Representing Mental States and Mechanisms, 1995. |
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R. I. Brafman and Y. Shoham. Knowledge considerations in Robotics and distribution of robotic tasks. In ijcai95, 1995. |
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R. I. Brafman and M. Tennenholtz. Towards Action Prediction using a Mental-level model. In Proc. Fourteenth International Joint Conference on AI, 1995. |
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R. I. Brafman and N. Friedman. On decision-theoretic foundations for defaults. In ijcai95, 1995. |
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R. I. Brafman J. C. Latombe Y. Moses and Y. Shoham. Knowledge as a tool in motion planning under uncertainty. In TARK, Proc. of the 5th Conf., R. Fagin editor, pages 208-224, Morgan Kaufmann, 1994. |
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R. I. Brafman and M. Tennenholtz. Belief Ascription and Mental-level Modelling. In Proc. of Fourth Intl. Conf. on Principles of Knowledge Representation and Reasoning, J. Doyle E. Sandewall P. Torasso editor, pages 87-98, 1994. |
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R. I. Brafman J. C. Latombe and Y. Shoham. Towards knowledge-level analysis of motion planning. In Proc. of the Eleventh National Conf. on AI, pages 670-675, 1993. |
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| Master Thesis |
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R. I. Brafman. A Logic of Normality: Predicate Calculus Incorporating Assertions. , 1991, Hebrew University of Jerusalem. |
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| Phd Thesis |
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R. I. Brafman. Qualitative Models of Information and Decision Making: Foundations and Applications. , March 1996, Stanford University. |