JAIR 2000

20 papers

A Model of Inductive Bias Learning Jonathan Baxter

AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks Jian Cheng, Marek J. Druzdzel

An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email Marilyn A. Walker

Asimovian Adaptive Agents Diana F. Gordon

Axiomatizing Causal Reasoning Joseph Y. Halpern

Backbone Fragility and the Local Search Cost Peak Josh Singer, Ian P. Gent, Alan Smaill

Conformant Planning via Symbolic Model Checking Alessandro Cimatti, Marco Roveri

Exact Phase Transitions in Random Constraint Satisfaction Problems Ke Xu, Wei Li

Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition Thomas G. Dietterich

OBDD-Based Universal Planning for Synchronized Agents in Non-Deterministic Domains Rune Møller Jensen, Manuela M. Veloso

On Deducing Conditional Independence from D-Separation in Causal Graphs with Feedback (Research Note) Radford M. Neal

On Reasonable and Forced Goal Orderings and Their Use in an Agenda-Driven Planning Algorithm Jana Koehler, Jörg Hoffmann

On the Compilability and Expressive Power of Propositional Planning Formalisms Bernhard Nebel

Planning Graph as a (Dynamic) CSP: Exploiting EBL, DDB and Other CSP Search Techniques in Graphplan Subbarao Kambhampati

Randomized Algorithms for the Loop Cutset Problem Ann Becker, Reuven Bar-Yehuda, Dan Geiger

Reasoning on Interval and Point-Based Disjunctive Metric Constraints in Temporal Contexts Federico Barber

Robust Agent Teams via Socially-Attentive Monitoring Gal A. Kaminka, Milind Tambe

Space Efficiency of Propositional Knowledge Representation Formalisms Marco Cadoli, Francesco M. Donini, Paolo Liberatore, Marco Schaerf

The Complexity of Reasoning with Cardinality Restrictions and Nominals in Expressive Description Logics Stephan Tobies

Value-Function Approximations for Partially Observable Markov Decision Processes Milos Hauskrecht