Linking Search Space Structure, Run-Time Dynamics, and Problem Difficulty: A Step Toward Demystifying Tabu Search.
Learning Content Selection Rules for Generating Object Descriptions in Dialogue.
Where 'Ignoring Delete Lists' Works: Local Search Topology in Planning Benchmarks.
Solving Set Constraint Satisfaction Problems using ROBDDs.
Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis.
Reasoning about Action: An Argumentation - Theoretic Approach.
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features.
The Deterministic Part of IPC-4: An Overview.
Hiding Satisfying Assignments: Two are Better than One.
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.
Optiplan: Unifying IP-based and Graph-based Planning.
Perseus: Randomized Point-based Value Iteration for POMDPs.
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-driven Robot Behavior.
The First Probabilistic Track of the International Planning Competition.
Ignorability in Statistical and Probabilistic Inference.
Integrating Learning from Examples into the Search for Diagnostic Policies.
Cooperative Information Sharing to Improve Distributed Learning in Multi-Agent Systems.
Relational Dynamic Bayesian Networks.
Pure Nash Equilibria: Hard and Easy Games.
A Framework for Sequential Planning in Multi-Agent Settings.
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints.
mGPT: A Probabilistic Planner Based on Heuristic Search.
Binary Encodings of Non-binary Constraint Satisfaction Problems: Algorithms and Experimental Results.
Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators.