 | Perseus: Randomized Point-based Value Iteration for POMDPs - M. T.J. Spaan and N. Vlassis |
| mGPT: A Probabilistic Planner Based on Heuristic Search - B. Bonet and H. Geffner |
| Risk-Sensitive Reinforcement Learning Applied to Control under Constraints - P. Geibel and F. Wysotzki |
| Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis - P. Cimiano, A. Hotho and S. Staab |
| Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms - R. Khardon, D. Roth and R. A. Servedio |
| Linking Search Space Structure, Run-Time Dynamics, and Problem Difficulty: A Step Toward Demystifying Tabu Search - J. P. Watson, L. D. Whitley and A. E. Howe |
| CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features - D. Ortiz-Boyer, C. Hervás-Martínez and N. García-Pedrajas |
| Relational Dynamic Bayesian Networks - S. Sanghai, P. Domingos and D. Weld |
| The First Probabilistic Track of the International Planning Competition - H.L.S. Younes, M. L. Littman, D. Weissman and J. Asmuth |
| Ignorability in Statistical and Probabilistic Inference - M. Jaeger |
| Where 'Ignoring Delete Lists' Works: Local Search Topology in Planning Benchmarks - J. Hoffmann |
| Cooperative Information Sharing to Improve Distributed Learning in Multi-Agent Systems - P. S. Dutta, N. R. Jennings and L. Moreau |
| Hiding Satisfying Assignments: Two are Better than One - D. Achlioptas, H. Jia and C. Moore |
| Probabilistic Hybrid Action Models for Predicting Concurrent Percept-driven Robot Behavior - M. Beetz and H. Grosskreutz |
| Optiplan: Unifying IP-based and Graph-based Planning - M.H.L. van den Briel and S. Kambhampati |
| Solving Set Constraint Satisfaction Problems using ROBDDs - P. J. Hawkins, V. Lagoon and P. J. Stuckey |
| Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators - A. Botea, M. Enzenberger, M. Mueller and J. Schaeffer |
| Pure Nash Equilibria: Hard and Easy Games - G. Gottlob, G. Greco and F. Scarcello |
| Reasoning about Action: An Argumentation - Theoretic Approach - Q. B. Vo and N. Y. Foo |
| Learning Content Selection Rules for Generating Object Descriptions in Dialogue - P. W. Jordan and M. A. Walker |
| The Deterministic Part of IPC-4: An Overview - J. Hoffmann and S. Edelkamp |
| Integrating Learning from Examples into the Search for Diagnostic Policies - V. Bayer-Zubek and T. G. Dietterich |
| Binary Encodings of Non-binary Constraint Satisfaction Problems: Algorithms and Experimental Results - K. Stergiou and N. Samaras |
| A Framework for Sequential Planning in Multi-Agent Settings - P. J. Gmytrasiewicz and P. Doshi |
