JAIR Volume 13 (2000)
Michael Wellman, Editor in Chief
342 pp., references, index, illus., $85.00 softcover, ISBN 978-1-55860-807-8
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Contents
Space Efficiency of Propositional Knowledge Representation Formalisms / 1-31
M. Cadoli, F. M. Donini, P. Liberatore, and M. Schaerf
Value-Function Approximations for Partially Observable Markov Decision Processes / 33-94
M. Hauskrecht
Asimovian Adaptive Agents / 95-153
D. F. Gordon
AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks / 155-188
J. Cheng and M. J. Druzdzel
OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains / 189-226
R. M. Jensen and M. M. Veloso
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition / 227-303
T. G. Dietterich
Conformant Planning via Symbolic Model Checking / 305-338
A. Cimatti and M. Roveri